Ulm University, Faculty of Mathematics and Economics - Institute of Stochastics

Prof. Dr. Volker Schmidt

Office: Helmholtzstraße 18, Room 163 Phone: +49 731 502-3532 Fax: +49 731 502-3649 e-mail: Firstname.Name@uni-ulm.de   Postal address: Ulm University Institute of Stochastics D-89069 Ulm Germany

Curriculum Vitae

Scientific Career:

• Diploma in Mathematics, University of Wroclaw, 1973
• Dissertation A (Dr. rer. nat.), Technical University of Freiberg (Bergakademie), 1979
• Dissertation B (Dr. sc. nat.), Technical University of Freiberg, 1988
• Habilitation in Mathematics (Dr. rer. nat. habil), 1991
• Professor of Applied Probability and Statistics, Ulm University, since 1992

Memberships in Interdisciplinary Research Groups and Councils:

• Chair of the Managing Committee of the special Interest Group for Probability & Statistics (Fachgruppe Stochastik) within the German Mathematical Society (DMV), 2000 - 2004
• Graduiertenkolleg 1100 "Modellierung, Analyse und Simulation in der Wirtschaftsmathematik" at Ulm University, sponsored by Deutsche Forschungsgemeinschaft (DFG), 2005 - 2014
• Scientific Council of the Mathematical Research Centre "EURANDOM" in Eindhoven (The Netherlands), 2006 - 2011
• Industrial cooperation with MunichRe on spatial stochastic modelling of geographical risks, in particular tropical cyclones in the northwest pacific and atlantic, 2006 - 2013
• Ulmer Zentrum für Wissenschaftliches Rechnen , since 2006
• Sonderforschungsbereich 518 "Entzündung, Regeneration und Transformation im Pankreas" at Ulm University, sponsored by Deutsche Forschungsgemeinschaft (DFG), 2007 - 2010
• BMBF-Netzwerk "Röntgen- und Neutronenbasierte Untersuchungsmethoden für PEM-Brennstoffzellen", im Rahmen der Förderinitiative "Netzwerke Grundlagenforschung erneuerbare Energien und rationelle Energieanwendung", sponsored by Bundesministerium für Bildung und Forschung (BMBF), 2007 - 2010
• Kooperation mit dem Institut für Deutsche Sprachwissenschaft der Universität Augsburg zum Thema "Neue Dialektometrie mit Methoden der statistischen Bildanalyse", sponsored by Deutsche Forschungsgemeinschaft (DFG), 2007 - 2014
• Scientific Advisory Board of the International Graduate School in Molecular Medicine Ulm , sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2007
• BMBF-Verbundprojekt "3D Analyse, Modellierung und Simulation der Mikrostruktur und Transportprozesse in faserbasierten porösen Materialien", im Rahmen der Schwerpunktförderung "Mathematik für Innovationen in Industrie und Dienstleistungen", sponsored by Bundesministerium für Bildung und Forschung (BMBF), 2010 - 2013
• Kooperation mit der University of Queensland, School of Mathematics and Physics, in Brisbane (Australien) zum Thema "Monte Carlo methods for spatial stochastic modeling", sponsored by Deutscher Akademischer Austauschdienst (DAAD) im Rahmen des Go8 Australia-Germany Joint Research Co-operation Scheme, 2012 -2013
• Industrial cooperation with France Telecom R&D, Paris on spatial stochastic modelling of telecommunication networks, 2000 - 2015
• An integrated approach towards highly efficient single and multi-junction bulk-heterojunction solar cells based on functionalized oligothiophenes; Projekt im Rahmen des Schwerpunktprogramms "Elementarprozesse der Organischen Photovoltaik" (SPP 1355), sponsored by Deutsche Forschungsgemeinschaft (DFG), 2008 -2015
• Kooperation mit der University of Ottawa , Department of Mathematics and Statistics and Department of Geography and Earth Sciences zum Thema "Analysis, modeling and simulation of complex spatio-temporal data", sponsored by Deutscher Akademischer Austauschdienst (DAAD) im Rahmen des projektbezogenen Personenaustausches mit Kanada, 2014 - 2015
• Kooperation mit der Charles University in Prague, Department of Probability and Mathematical Statistics zum Thema "Random marked sets", sponsored by Deutscher Akademischer Austauschdienst (DAAD) im Rahmen des projektbezogenen Personenaustausches mit Tschechien, 2014 - 2015
• BMBF-Verbundprojekt "Multiskalenmodelle und Modellreduktionsverfahren zur Vorhersage der Lebensdauer von Lithium-Ionen-Batterien", im Rahmen der Schwerpunktförderung "Mathematik für Innovationen in Industrie und Dienstleistungen", sponsored by Bundesministerium für Bildung und Forschung (BMBF), 2013 - 2016
• Kooperation mit der Züricher Hochschule für Angewandte Wissenschaften , Institut für Computational Physics zum Thema "Stochastic 3D modeling of shale microstructures", 2013 - 2016
• Stochastische Partikelmodelle zur Quantifizierung von Zusammenhängen zwischen Prozessvariablen, Strukturkenngrößen und mechanischen Stoffeigenschaften; Projekt im Rahmen des Schwerpunktprogramms "Dynamische Simulation vernetzter Feststoffprozesse" (SPP 1679), sponsored by Deutsche Forschungsgemeinschaft (DFG), 2013 - 2017
• Kooperation mit der University of Queensland, School of Mathematics and Physics, in Brisbane (Australien) zum Thema "Advanced Monte Carlo methods for spatial processes", sponsored by the Australian Research Council, 2014 -2017
• Stochastische Raum-Zeit-Analyse von 3D Partikelstrukturen bei Scherung und statistische Validierung nmerischer DEM-Simulationen; Projekt im Rahmen des Schwerpunktprogramms "Partikel im Kontakt - Mikromechanik, Mikroprozessdynamik und Partikelkollektive" (SPP 1486), sponsored by Deutsche Forschungsgemeinschaft (DFG), 2014 - 2018
• Stochastische 3D Strukturmodelle zur Mikrostrukturoptimierung hochkapazitiver, strukturierter Elektroden; Projekt im Rahmen des Forschungsverbundes "HighEnergy - Fertigung hochkapazitiver, strukturierter Elektroden" , sponsored by Bundesministerium für Bildung und Forschung (BMBF), 2016 - 2019
• Multiskalige stochastische Modellierung der 3D Strukturen von hierarchisch strukturierten Kompositmaterialien für elektrochemische Energiespeicher; Projekt im Rahmen des Forschungsverbundes "Werkstoffentwicklung hierarchisch strukturierter Kompositmaterialien für elektrochemische Energiespeicher (HIKOMAT)", sponsored by Bundesministerium für Wirtschaft und Energie (BMWI), 2016 - 2019
• Kooperation mit dem Institute of Systematic Botany and Ecology der Universität Ulm zum Thema "Wassertransport in Pflanzen als Vorbild für bionische Transportsysteme bei Unterdruck", sponsored by Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (MWK), 2018 - 2019
• Kooperation mit dem Deutschen Wetterdienst, GB Forschung und Entwicklung, Offenbach, zum Thema "Stochastische Geometrie in der probabilistischen Wettervorhersage", 2013 - 2020
• Kooperation mit der Charles University in Prague, Faculty of Mathematics and Physics zum Thema "Parametric representation and stochastic 3D modeling of grain microstructures in polycystalline materials using random marked tessellations", sponsored by Deutsche Forschungsgemeinschaft (DFG), Czech Science Foundation (GARC) and the Institute of Physics of the Czech Academy of Sciences, 2017 -2020
• BMBF-Verbundprojekt "Modellbasierte Abschätzung der Lebensdauer von gealterten Li-Batterien für die 2nd-Life Anwendung als stationärer Stromspeicher", im Rahmen der Schwerpunktförderung "Mathematik für Innovationen in Industrie und Dienstleistungen", sponsored by Bundesministerium für Bildung und Forschung (BMBF), 2018 - 2022
• BMBF-Verbundprojekt "Flächenbezogene Modellierung, Simulation und Optimierung von Solar-Einspeisung, Lastfluss und Steuerung für Stromverteilnetze, unter Berücksichtigung von Einspeisungsunsicherheiten", im Rahmen der Schwerpunktförderung "Mathematik für Innovationen in Industrie und Dienstleistungen", sponsored by Bundesministerium für Bildung und Forschung (BMBF), 2018 - 2022
• Kooperation mit der Hochschule für Wirtschaft und Umwelt Nürtingen-Geislingen zum Thema "Selektive, nicht-chemische Bekämpfung von Giftpflanzen in extensiven Grünlandbeständen", sponsored by Bundesministerium für Ernährung und Landwirtschaft (BMEL), 2018 - 2022
• Kooperation mit dem Institute of Protein Biochemistry der Universität Ulm zum Thema "Untersuchung des Einflusses von Umgebungsfaktoren auf die Struktur katalytischer Amyloidffibrillen", sponsored by Deutsche Forschungsgemeinschaft (DFG), 2018 - 2022
• Stochastische Modellierung mehrdimensionaler Partikeleigenschaften mit parametrischen Copulas zur Untersuchung mikrostruktureller Effekte bei der Fraktionierung von Feinstpartikelsystemen; Projekt im Rahmen des Schwerpunktprogramms "Hochspezifische mehrdimensionale Fraktionierung von technischen Feinstpartikelsystemen" (SPP 2045), sponsored by Deutsche Forschungsgemeinschaft (DFG), 2017 - 2023
• Stochastische 3D-Strukturmodelle zur hierarchischen Strukturierung hochkapazitiver Elektroden - HiStructures; Projekt im Rahmen des Kompetenzclusters "ProZell" zur Batteriezellproduktion, sponsored by Bundesministerium für Bildung und Forschung (BMBF), 2019 -2023

Ongoing Projects:

• Kooperation mit dem Helnholtz-Zentrum für Umweltforschung Leipzig/Halle und dem Forschungszentrum Jülich zum Thema "Statistical analysis and modeling of root measures for the description of spatiotemporal root patterns, using experimental and simulated image data gained by X-ray CT and root architecture models", sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2019
• Kooperation mit der Bundesanstalt für Materialforschung und -prüfung (BAM) in Berlin sowie mit mehreren französischen Partnergruppen zum Thema "Micromechanical behavior of nanostructured oxids at very high temperature - Experimental investigations and virtual multiscale materials design", sponsored by Deutsche Forschungsgemeinschaft (DFG), in the framework of the collaboration between ANR and DFG, since 2020
• Characterization of fabrication-microstructure-property relationships for polymer-based battery materials, combining tomographic 3D imaging with modeling and simulation; Projekt im Rahmen des Schwerpunktprogramms "Polymer-based batteries" (SPP 2048), sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2020
• Kooperation mit dem Deutschen Wetterdienst, GB Forschung und Entwicklung, Offenbach, zum Thema "Kombination von stochastischer Modellierung und maschinellem Lernen in der probabilistischen Wettervorhersage", since 2020
• Kooperation mit dem Institut für Funktionelle Nanosysteme der Universität Ulm zum Thema "Reverse-Engineering der Kinetik von Kornwachstum mittels zeitaufgelöster Rekonstruktion der 3D-Mikrostruktur und mosaikbasierter Modellierung", sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2021
• Agglomeration applying high intensity mixing (mechano-fusion) – An integrated approach towards the synthesis of tailored hetero-aggregates combining experiments with 2D and 3D structural characterization via image analysis and stochastic modeling; Projekt im Rahmen des Schwerpunktprogramms "Creation of Synergies in Tailor-made Mixtures of Heterogeneous Powders: Hetero Aggregations of Particulate Systems and Their Properties" (SPP 2289), sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2021
• Kooperation mit Mines ParisTech in Fontainebleau zum Thema Data-driven stochastic 3D microstructure modeling for learning mechanical properties (SMILE), sponsored by Bundesministerium für Bildung und Forschung (BMBF) im Rahmen der Förderung von deutsch-französischen Projekten zum Thema künstliche Intelligenz, since 2021
• Multidimensional probabilistic characterization of slag materials for the optimization of cooling, comminution and separation processes, using statistical image analysis supported by machine learning; Projekt im Rahmen des Schwerpunktprogramms "Engineered Artificial Minerals" (SPP 2315), sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2022
• Verbundprojekt zum Thema "Holistische Methode eines kombinierten daten- und modellbasierten Elektrodendesigns unterstützt durch künstliche Intelligenz (HiBRAIN)" im Rahmen der Fördermaßnahme des Bundesministeriums für Wirtschaft und Klimaschutz (BMWK) "Angewandte nichtnukleare Forschungsförderung" im 7. Energieforschungsprogramm „Innovationen für die Energiewende”, since 2022
• Verbundprojekt zum Thema "Selektive Bekämpfung von Grünlandunkräutern mit Wasserstrahlen (SELBEWAG)", gefördert vom Bundesministerium für Ernährung und Landwirtschaft (BMEL), since 2022
• Modellbasierte Regelung der Sprühtrocknung von strukturierten Granulaten mit spezifizierten Eigenschaften durch Transferfunktionen, hergeleitet mittels multivariater stochastischer Modelle und maschineller Lernverfahren. Projekt im Rahmen des Schwerpunktprogramms "Autonome Prozesse in der Partikeltechnik - Erforschung und Erprobung von Konzepten zur modellbasierten Führung partikeltechnischer Prozesse" (SPP 2364), sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2022
• BMBF-Verbundprojekt "Datengetriebene Struktur-Eigenschafts-Analyse mittels stochastischer und numerischer Simulationsmethoden -- Workflow zur Strukturoptimierung von SOFC-Brennstoffzellen", im Rahmen der Schwerpunktförderung "Mathematik für Innovationen" als Beitrag zur Methodenentwicklung im Umgang mit Herausforderungen in Digitalisierung und Nachhaltigkeit, sponsored by Bundesministerium für Bildung und Forschung (BMBF), since 2022
• Kooperation mit dem Institut für Mechanische Verfahrenstechnik und Aufbereitungstechnik der TU Bergakademie Freiberg zum Thema "Entwicklung von multivariaten Struktur- und Prozessmodellen für Filterkuchen, durch die Kombination von experimentellen verfahrenstechnischen und digitalen computerbasierten Methoden", sponsored by Deutsche Forschungsgemeinschaft (DFG), since 2023
• BMBF-Verbundprojekt "Digitales Elektrodendesign für Festkörperbatterien", sponsored by Bundesministerium für Bildung und Forschung (BMBF), since 2023

Awards:

• Scientific Prize of the Polish Secretary of Education, 2000
• Merckle Research Prize, 2005
• Cooperation Prize "Wissenschaft-Wirtschaft" of Ulm University, 2007

Prof. Schmidt's research interests include:

• Pre-processing techniques for large image data: Segmentation and skeletonization algorithms, statistical learning methods
• Spatial statistics: Analysis, modeling and simulation of highly resolved image data on various length scales in 2D, 3D, and 4D
• Stochastic geometry: Point processes, particle systems, tessellations with convex and non-convex cells, geometric graphs

With applications to:

• Multi-scale 3D analysis, modeling and simulation of advanced functional materials
• Correlation of their 3D morphology and macroscopic properties
• Efficient 3D simulation of charge transport in large molecular networks
• Stochastic evaluation of numerical simulation in 3D microstructures, e.g., for mass and charge transport in porous and composite materials, micromechanics
• Stochastic 4D modeling of structural degradation processes
• Virtual design of materials with optimized 3D morphologies
• Geo-risks research: Stochastic space-time analysis and modelling of geographically mapped data, e.g., for tracks/landfalls of tropical cyclones, probabilistic weather prediction, archaeological and paleo-environmental databases

Ph.D. Students and their Dissertations

• Andreas Frey, Approximation und Vergleich von stochastischen Risiko- und Bedienungsprozessen (March 1995)
• Sven Hasenfuss: Performance analysis of (max,+)-linear systems via Taylor series expansions (December 1997)
• Sabine Schlegel, Asymptotics of stochastic networks, risk and fluid models in the presence of heavy tails (September 1999)
• Stephan Böhm, Asymptotische Signifikanztests für stationare zufällige Mengen und ihre Anwendung bei der Untersuchung der Grundwasserbeschaffenheit in Baden-Württemberg (July 2003)
• Roland Maier, Iterated random tessellations, with applications to spatial modelling of telecommunication networks (July 2003)
• Simone Klenk, Schätzung morphologischer Charakteristiken von binären Bilddaten (July 2006)
• Hendrik Schmidt, Asymptotic analysis of stationary random tessellations, with applications to network modelling (September 2006)
• Ursa Pantle, Asymptotic properties of estimators for random fields induced by stationary germ-grain models (October 2006)
• Frank Fleischer, Analysis and fitting of random tessellation models: Applications in telecommunication and cell biology (May 2007)
• Stefanie Eckel, Statistical analysis of spatial point patterns: Applications to economical, biomedical and ecological data (November 2008)
• Florian Voss, Spatial stochastic network models: Scaling limits and Monte-Carlo methods (February 2010)
• Jonas Rumpf, Statistical models for geographically referenced data: Applications in tropical cyclone modelling and dialectology (May 2010)
• Sebastian Lück, Stochastic methods for the analysis of geometrically complex fibre systems: Applications to cellular biology and quality control of computed tomography (July 2011)
• Ralf Thiedmann, New approaches to stochastic image segmentation and modeling of complex microstructures: Applications to the analysis of advanced materials (July 2011)
• Ole Stenzel, Stochastic modeling of the 3D morphologies of energy materials on various length scales (February 2014)
• Gerd Gaiselmann, Stochastic 3D microstructure modeling with special emphasis on fuel cells applications (June 2014)
• Christian Hirsch, Connectivity and percolation properties of stochastic networks (December 2014)
• David Neuhäuser, Parametric approximation formulas for the distributions of cost functionals in spatial stochastic networks (July 2015)
• Aaron Spettl, Stochastic simulation models for the 3D microstructure of densely packed particle systems (July 2016)
• Björn Kriesche, Statistical analysis and stochastic modeling of meteorological and paleogeographical space-time data (December 2017)
• Julian Feinauer, Stochastic 3D modeling and simulation of electrode materials in lithium-ion batteries (February 2019)
• Daniel Westhoff, Spatial stochastic modeling of advanced functional materials for investigating process-microstructure and microstructure-property relationships (May 2019)
• Matthias Neumann, Stochastic 3D microstructure modeling for virtual materials testing based on tomographic image data (May 2020)
• Orkun Furat, Quantitative characterization of complex particle systems via machine learning and stochastic modeling (June 2022)
• Lukas Petrich, Geometric object extraction on various length scales and their stochastic model-based simulation (July 2023)
• Benedikt Prifling, Process-microstructure-property relationships based on statistical analysis of 3D image data and spatial stochastic modeling (Novdember 2023)
• Matthias Weber, Data-driven analysis, modeling and simulation of fiber-based materials: A basis for virtual materials testing (February 2024)
• Marten Ademmer, Characterization of the 3D microstructure of advanced energy materials based on tomographic image data and their spatial stochastic modeling (under preparation)
• Niklas Eiermann, Multidimensional probabilistic characterization of slag materials, using statistical image analysis supported by machine learning (under preparation)
• Lukas Fuchs, Transfer functions for process control, derived by multivariate stochastic modeling and machine learning (under preparation)
• Phillip Gräfensteiner, Data-driven stochastic characterization, modeling and simulation of the 3D microstructure of functional materials, supported by methods of machine learning (under preparation)
• Tom Kirstein, Multidimensional characterization of particle systems for process quality assessment, using methods of statistical learning (under preparation)
• Philipp Rieder, Characterization of the 3D microstructure of polycrystalline materials, based on tomographic image data and their spatial stochastic modeling (under preparation)
• Peter Schaumann, Combination of stochastic modeling and machine learning for probabilistic weather forecasting and power grid management (under preparation)
• Sabrina Weber, Data-driven structure-property analysis using spatial stochastic modeling and simulation (under preparation)
• Thomas Wilhelm, Tessellation-based modeling of time-resolved 3D grain architectures (under preparation)

Workshops / Conferences

• 20th Symposium on Modeling and Validation of Electrochemical Energy Technologies, (March 13 to March 14, 2024, Baden, Switzerland)
• 87. Jahrestagung der DPG und DPG-Frühjahrstagung, (March 17 to March 22, 2024, Berlin, Germany)
• 22nd Workshop on Stochastic Geometry, Stereology and Image Analysis, (June 2 to June 7, 2024, Bad Herrenalb, Germany)
• International Conference on Modelling, Data Analytics and AI in Engineering, (July 2 to July 5, 2024, Porto, Portugal)
• 9th European Congress on Computational Methods in Applied Sciences and Engineering, (June 3 to June 7, 2024, Lisboa, Portugal)
• 15th International Conference on Genomics and Systems Biology of Human Disease and Aging, (June 22 to June 27, 2024, Chania, Crete)
• 24th International Conference on Solid State Ionics, (July 15 to July 19, 2024, London, UK)
• EUROMECH Colloquium 642: International Colloquium on Multiscale and Multiphysics Modelling for Advanced and Sustainable Materials, (September 23 3 to September 27, 2024, Rome, Italy)
• International Paper Physics Conference 2024, (September 30 to October 2, 2024, Wuppertal, Germany)
• International Bunsen Discussion Meeting "Solid-state Batteries V (SSB VI) , (November 13 to November 15, 2024, Frankfurt/Main, Germany)
• 17th German Probability and Statistics Days , (March 11 13 to March 14, 2025, Dresden, Germany)

List of Publications, since 2000

2000 - 2005

• T. Mattfeldt, H.-W. Gottfried, V. Schmidt and H.A. Kestler, Classification of individual spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using artificial neural networks. Journal of Microscopy 198 (2000), 143-158
• A.D. Barbour and V. Schmidt, On Laslett's transform for the Boolean model. Advances in Applied Probability 33 (2001), 1-5
• W.I. Cooper, V. Schmidt and R.F. Serfozo, Queues and inventories with Skorohod/Loynes representations. Queueing Systems: Theory and Applications 37 (2001), 233-257
• M. Dozzi, E. Merzbach and V. Schmidt, Limit theorems for sums of random fuzzy sets. Journal of Mathematical Analysis and Applications 259 (2001), 554-565
• C. Gloaguen, P. Coupe, R. Maier and V. Schmidt, Stochastic modelling of urban access networks, Proc. 10th Internat. Telecommun. Network Strategy Planning Symp. (Munich, June 2002), VDE-Verlag, Berlin, 2002, pp. 99-104.
• S. Boehm, J. Grimm-Strele, V. Schmidt and B. Schneider, Investigation of groundwater quality in Baden-Wuerttemberg, using methods of spatial statistics. Hydrologie und Wasserbewirtschaftung 47 (2003), 1-12 (in German)
• S. Boehm and V. Schmidt, Palm representation and approximation of the covariance of random closed sets (ps). Advances in Applied Probability 35 (2003), 295-302
• D.A. Korshunov, S. Schlegel and V. Schmidt, Asymptotics for random walks with dependent heavy-tailed increments. Siberian Mathematical Journal 44 (2003), 833-844 (in Russian)
• R. Maier and V. Schmidt, Stationary iterated tessellations. Advances in Applied Probability 35 (2003), 337-353
• T. Mattfeldt, H.-W. Gottfried, H. Wolter, V. Schmidt, H. Kestler and J. Mayer, Classification of prostatic carcinoma with artificial neural networks using comparative genomic hybridization and quantitative stereological data. Pathology - Research and Practice 199 (2003), 773-784
• S. Boehm, L. Heinrich and V. Schmidt, Kernel estimation of the spectral density of stationary random closed sets (ps). Australian and New Zealand Journal of Statistics 46 (2004), 37-47
• S. Boehm, L. Heinrich and V. Schmidt, Asymptotic properties of estimators for the volume fraction of jointly stationary random sets (pdf). Statistica Neerlandica 58 (2004), 388-406
• H. Braxmeier, V. Schmidt and E. Spodarev, Spatial extrapolation of anisotropic road traffic data (pdf). Image Analysis & Stereology 23 (2004), 185-198
• R. Maier, J. Mayer and V. Schmidt, Distributional properties of the typical cell of stationary iterated tessellations (ps.gz). Mathematical Methods of Operations Research 59 (2004), 287-302
• J. Mayer, V. Schmidt and F. Schweiggert, A unified simulation framework for spatial stochastic models (ps.gz). Simulation Modelling Practice and Theory 12 (2004), 307-326
• M. Beil, F. Fleischer, S. Paschke and V. Schmidt, Statistical analysis of 3D centromeric heterochromatin structure in interphase nuclei (pdf). Journal of Microscopy 217 (2005), 60-68
• M. Beil, H. Braxmeier, F. Fleischer, V. Schmidt and P. Walther, Qualitative analysis of keratin filament networks in scanning electron microscopy images of cancer cells (pdf). Journal of Microscopy 220 (2005), 84-95
• C. Gloaguen, F. Fleischer, H. Schmidt and V. Schmidt, Simulation of typical Cox-Voronoi cells, with a special regard to implementation tests (pdf). Mathematical Methods of Operations Research 62 (2005), 357-373
• L. Heinrich, H. Schmidt and V. Schmidt, Limit theorems for stationary tessellations with random inner cell structure (pdf). Advances in Applied Probability 37 (2005), 25-47
• V. Schmidt and E. Spodarev, Joint estimators for the specific intrinsic volumes of stationary random sets (ps). Stochastic Processes and their Applications 115 (2005), 959-981
• E. Spodarev and V. Schmidt, On the local connectivity number of stationary random closed sets (ps). In: C. Ronse, L. Najman, E. Decenciere (eds.) Mathematical Morphology: 40 Years On. Proceedings of the 7th International Symposium on Mathematical Morphology, Springer-Series: Computational Imaging and Vision, Dordrecht, 2005, 343-354

   

  
  

  2006

• M. Beil, S. Eckel, F. Fleischer, H. Schmidt, V. Schmidt and P. Walther, Fitting of random tessellation models to cytoskeleton network data (pdf). Journal of Theoretical Biology 241 (2006), 62-72
• F. Fleischer, S. Eckel, I. Schmid, V. Schmidt and M. Kazda, Statistical analysis of the spatial distribution of tree roots in pure stands of Fagus sylvatica and Picea abies (pdf). Canadian Journal of Forest Research 36 (2006), 227-237
• F. Fleischer, M. Beil, M. Kazda and V. Schmidt, Analysis of spatial point patterns in microscopic and macroscopic biological image data (pdf). In: A. Baddeley, P. Gregori, J. Mateu, R. Stoica, D. Stoyan (eds.) Case Studies in Spatial Point Process Models. Lecture Notes in Statistics, Springer, Berlin 2006, 235-260
• C. Gloaguen, F. Fleischer, H. Schmidt and V. Schmidt, Fitting of stochastic telecommunication network models, via distance measures and Monte-Carlo tests (pdf). Telecommunication Systems 31 (2006), 353-377
• C. Gloaguen, F. Fleischer, H. Schmidt and V. Schmidt, Modelling and simulation of telecommunication networks: Analysis of mean shortest path lengths (pdf). In: R. Lechnerova, I. Saxl, and V. Benes (eds.): Proceedings of the 6th International Conference on Stereology, Spatial Statistics and Stochastic Geometry, 25-36. Union of Czech Mathematicians and Physisists, Prague.
• L. Heinrich, H. Schmidt and V. Schmidt, Central limit theorems for Poisson hyperplane tessellations (pdf). Annals of Applied Probability 16 (2006), 919-950
• S. Klenk, V. Schmidt and E. Spodarev, A new algorithmic approach to the computation of Minkowski functionals of polyconvex sets (pdf). Computational Geometry: Theory and Applications 34 (2006), 127-148
• T. Mattfeldt, S. Eckel, F. Fleischer and V. Schmidt, Statistical analysis of reduced pair correlation functions of capillaries in the prostate gland (pdf). Journal of Microscopy 223 (2006), 107-119
• U. Pantle, V. Schmidt and E. Spodarev, Central limit theorems for functionals of stationary germ-grain models (pdf). Advances in Applied Probability 38 (2006), 76-94

   

  
  

  2007

• C. Buser, F. Fleischer, T. Mertens, D. Michel, V. Schmidt and P. Walther, Quantitative investigation of murine cytomegalovirus nucleocapsid interaction (pdf). Journal of Microscopy 228 (2007), 78-87
• F. Fleischer, R. Ananthakrishnan, S. Eckel, H. Schmidt, J. Kaes, T. Svitkina, V. Schmidt and M. Beil, Actin network architecture and elasticity in lamellipodia of melanoma cells (pdf). New Journal of Physics 9 (2007), 420
• R. Guderlei, S. Klenk, J. Mayer, V. Schmidt and E. Spodarev, Algorithms for the computation of Minkowski functionals of deterministic and random polyconvex sets (pdf). Image and Vision Computing 25 (2007), 464-474
• L. Heinrich, H. Schmidt and V. Schmidt, Limit theorems for functionals on the facets of stationary random tessellations (pdf). Bernoulli 13 (2007), 868-891
• S. Jinno, S. Eckel, F. Fleischer, V. Schmidt and T. Kosaka , Spatial arrangement of microglia in the mouse hippocampus: A quantitative point process analysis (pdf). GLIA 55 (2007), 1334-1347
• I. Kaj, L. Leskela, I. Norros and V. Schmidt, Scaling limits for random fields with long range dependence (pdf). Annals of Probability 35 (2007), 528-550
• T. Mattfeldt, S. Eckel, F. Fleischer and V. Schmidt, Statistical modelling of the geometry of planar sections of prostatic capillaries on the basis of stationary Strauss hard-core processes (pdf). Journal of Microscopy 228 (2007), 272-281
• T. Mattfeldt, D. Meschenmoser, U. Pantle and V. Schmidt, Characterization of mammary gland tissue using joint estimators of Minkowski functionals (pdf). Image Analysis and Stereology 26 (2007), 13-22
• J. Rumpf, H. Weindl, P. Hoeppe, E. Rauch and V. Schmidt, Stochastic modelling of tropical cyclone tracks (pdf). Mathematical Methods of Operations Research 66 (2007), 475-490
• K. Vasudevan, S. Eckel, F. Fleischer, V. Schmidt and F.A. Cook, Statistical analysis of spatial point patterns on deep seismic reflection data (pdf). Geophysical Journal International 171 (2007), 823-840

   

  
  

  2008

• S. Eckel, F. Fleischer, P. Grabarnik and V. Schmidt, An investigation on the spatial correlations for relative purchase power in Baden-Württemberg (pdf). AStA Advances in Statistical Analysis 92 (2008), 135-152
• F. Fleischer, C. Gloaguen, H. Schmidt, V. Schmidt and F. Schweiggert, Simulation algorithm of typical modulated Poisson-Voronoi cells and application to telecommunication network modelling (pdf). Japan Journal of Industrial and Applied Mathematics 25 (2008), 305-330
• S. Lueck, M. Beil, F. Fleischer, S. Portet, W. Arendt and V. Schmidt, The Laplacian in a stochastic model for spatiotemporal reaction systems (pdf). Ulmer Seminare 13 (2008), 133-143
• R. Thiedmann, F. Fleischer, C. Hartnig, W. Lehnert and V. Schmidt, Stochastic 3D modelling of the GDL structure in PEM fuel cells, based on thin section detection. (pdf). Journal of the Electrochemical Society 155 (2008), B391-B399

   

  
  

  2009

• M. Beil, S. Lueck, F. Fleischer, S. Portet, W. Arendt and V. Schmidt, Simulating the formation of keratin networks by a piecewise-deterministic Markov process (pdf). Journal of Theoretical Biology 256 (2009), 518-532
• H. Braxmeier, V. Schmidt and E. Spodarev, Kriged road-traffic maps (pdf). In: J. Pilz (ed.) Interfacing Geostatistics and GIS, Springer, Berlin 2009, 105-119
• S. Eckel, F. Fleischer, P. Grabarnik, M. Kazda, A. Särkkä and V. Schmidt, Modelling tree roots in mixed stands by non-stationary marked Gibbs point processes. (pdf). Biometrical Journal 51 (2009), 522-539
• F. Fleischer, C. Gloaguen, V. Schmidt and F. Voss, Simulation of the typical Poisson-Voronoi-Cox-Voronoi cell (pdf). Journal of Statistical Computation and Simulation 79 (2009), 939-957
• E. Kokai, F. Voss, F. Fleischer, S. Kempe, D. Marinkovic, H. Wolburg, F. Leithaeuser, V. Schmidt, U. Deutsch and T. Wirth, Myc regulates embryonic vascular permeability and remodeling. (pdf, pdf). Circulation Research 104 (2009), 1151-1159
• T. Mattfeldt, S. Eckel, F. Fleischer and V. Schmidt, Statistical analysis of labelling patterns of mammary carcinoma cell nuclei on histological sections. (pdf). Journal of Microscopy 235 (2009), 106-118
• S.D. Oosterhout, M.M. Wienk, S.S. van Bavel, R. Thiedmann, L.J.A. Koster, J. Gilot, J. Loos, V. Schmidt and R.A.J. Janssen, The effect of three-dimensional morphology on the efficiency of hybrid polymer solar cells (pdf). Nature Materials 8 (2009), 818-824
• J. Rataj, V. Schmidt and E.Spodarev, On the expected surface area of the Wiener sausage (pdf). Mathematische Nachrichten 282 (2009), 591 - 603
• J. Rumpf, S. Pickl, S. Elspass, W. Koenig and V. Schmidt, Structural analysis of dialect maps using methods from spatial statistics (pdf). Zeitschrift für Dialektologie und Linguistik 76 (2009), 280-308
• J. Rumpf, H. Weindl, P. Hoeppe, E. Rauch and V. Schmidt, Tropical cyclone hazard assessment using model-based track simulation (pdf). Natural Hazards 48 (2009), 383-398
• R. Thiedmann, C. Hartnig, I. Manke, V. Schmidt and W. Lehnert, Local structural characteristics of pore space in GDL's of PEM fuel cells based on geometric 3D graphs (pdf). Journal of the Electrochemical Society 156 (2009), B1339-B1347
• F. Voss, C. Gloaguen, F. Fleischer, V. Schmidt, Distributional properties of Euclidean distances in wireless networks involving road systems (pdf). IEEE Journal on Selected Areas in Communication 27 (2009), 1047-1055
• F. Voss, C. Gloaguen and V. Schmidt, Palm calculus for stationary Cox processes on iterated random tessellations (pdf). Proceedings of WiOpt2009: 7th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, Seoul 2009, 534-539
• F. Voss, C. Gloaguen and V. Schmidt, Capacity distributions in spatial stochastic models for telecommunication networks (pdf). Image Analysis and Stereology 28 (2009), 155-163.

   

  
  

  2010

• C. Gloaguen, F. Fleischer, H. Schmidt and V. Schmidt, Analysis of shortest paths and subscriber line lengths in telecommunication access networks. (pdf). Networks and Spatial Economics 10 (2010), 15-47.
• S. Lueck, A. Kupsch, A. Lange, M.P. Hentschel and V. Schmidt, Statistical analysis of tomographic reconstruction algorithms by morphological image characteristics (pdf). Image Analysis and Stereology 29 (2010), 61-77
• S. Lueck, M. Sailer, V. Schmidt and W. Walther, Three-dimensional analysis of the intermediate filament network using SEM-tomography (pdf). Journal of Microscopy 239 (2010), 1-16
• U. Pantle, V. Schmidt and E. Spodarev, On the estimation of integrated covariance functions of stationary random fields. (pdf). Scandinavian Journal of Statistics 37 (2010), 47-66.
• J. Rumpf, S. Pickl, S. Elspass, W. Koenig and V. Schmidt, Quantification and statistical analysis of structural similarities in dialectological area-class maps. (pdf). Dialectologia et Geolinguistica 18 (2010), 73-98.
• J. Rumpf, H. Weindl, E. Faust and V. Schmidt, Structural variation in genesis and landfall locations of North Atlantic tropical cyclones related to SST (pdf). Tellus 62A (2010), 243-255
• M. Sailer, K. Hoehn, S. Lueck, V. Schmidt, M. Beil and P. Walther, Novel electron tomographic methods to study the morphology of keratin filament networks (pdf). Microscopy and Microanalysis 16 (2010), 462-471
• R. Thiedmann, I. Manke, W. Lehnert and V. Schmidt. Strukturelle Analyse des Porenraumes von Gasdiffusionslagen in Brennstoffzellen mittels geometrischer 3D Graphen (pdf). MP Materials Testing 52 (2010), 736-743.
• F. Voss, C. Gloaguen and V. Schmidt, Scaling limits for shortest path lengths along the edges of stationary tessellations (pdf). Advances in Applied Probability 42 (2010), 936-952
• Y. Wang, S. Cho, R. Thiedmann, V. Schmidt, W. Lehnert and X. Feng, Stochastic modeling and direct numerical simulation of the diffusion media for polymer electrolyte fuel cells. (pdf). International Journal of Heat and Mass Transfer 53 (2010), 1128-1138.

   

  
  

  2011

• S. Eckel, G. Loeffler, A. Maurer and V. Schmidt, Measuring the effects of geographical distance on stock market correlation (pdf). Journal of Empirical Finance 18 (2011), 237-247.
• C. Gloaguen, F. Voss and V. Schmidt, Parametric distributions of connection lengths for the efficient analysis of fixed access network. (pdf). Annals of Telecommunications 66 (2011), 103-118.
• S.D. Oosterhout, L.J.A. Koster, S.S. van Bavel, J. Loos, O. Stenzel, R. Thiedmann, V. Schmidt, B. Campo, T.J. Cleij, L. Lutzen, D. Vanderzande, M.M. Wienk and R.A.J. Janssen, Controlling the morphology and efficiency of hybrid ZnO:polythiophene solar cells via side chain functionalization. (pdf). Advanced Energy Materials 1 (2011), 90-96.
• O. Stenzel, H. Hassfeld, R. Thiedmann, L.J.A. Koster, S.D. Oosterhout, S.S. van Bavel, M.M. Wienk, J. Loos, R.A.J. Janssen and V. Schmidt, Spatial modelling of the 3D morphology of hybrid polymer-ZnO solar cells, based on electron tomography data. (pdf). Annals of Applied Statistics 5 (2011), 1920-1947.
• R. Thiedmann, H. Hassfeld, O. Stenzel, L.J.A. Koster, S.D. Oosterhout, S.S. van Bavel, M.M. Wienk, J. Loos, R.A.J. Janssen and V. Schmidt, A multiscale approach to the representation of 3D images, with applications to polymer solar cells. (pdf). Image Analysis and Stereology 30 (2011), 19-30.
• R. Thiedmann, W. Lehnert, I. Manke and V. Schmidt, Random geometric graphs for modelling the pore space of fibre-based materials (pdf). Journal of Materials Science 46 (2011), 7745-7759.
• R. Thiedmann, O. Stenzel, A. Spettl, P.R. Shearing, S.J. Harris, N.P. Brandon and V. Schmidt, Stochastic simulation model for the 3D morphology of composite materials in Li-ion batteries. (pdf). Computational Materials Science 50 (2011), 3365-3376.
• F. Voss, C. Gloaguen, F. Fleischer and V. Schmidt, Densities of shortest path lengths ín spatial stochastic networks (ps). Stochastic Models 27 (2011), 141-167.

   

  
  

  2012

• B. Baumeier, O. Stenzel, C. Poelking, D. Andrienko and V. Schmidt, Stochastic modeling of molecular charge transport networks. (pdf). Physical Review B 86 (2012), 184202.
• T.J. Brereton, O. Stenzel, B. Baumeier, D.P. Kroese and V. Schmidt, Efficient simulation of charge transport in deep-trap media. (pdf). In: C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A.M. Uhrmacher (eds.) Proceedings of the 2012 Winter Simulation Conference, IEEE, Piscataway 2012.
• J.P. Brinkmann, D. Froning, U. Reimer, V. Schmidt, W. Lehnert and D. Stolten, 3D modeling of one and two component gas flow in fibrous microstructures in fuel cells by using the Lattice-Boltzmann method. (pdf). ECS Transactions 50 (2012), 207-219.
• G. Gaiselmann, R. Thiedmann, I. Manke, W. Lehnert and V. Schmidt, Stochastic 3D modeling of fiber-based materials. (pdf). Computational Materials Science 59 (2012), 75-86.
• M. Meinhardt, S. Lueck, P. Martin, T. Felka, W. Aicher, B. Rolauffs and V. Schmidt, Modeling chondrocyte patterns by elliptical cluster processes. (pdf). Journal of Structural Biology 177 (2012), 447-458.
• D. Neuhaeuser, C. Hirsch, C. Gloaguen and V. Schmidt, On the distribution of typical shortest-path lengths in connected random geometric graphs. (pdf). Queueing Systems 71 (2012), 199-220.
• M. Salzer, A. Spettl, O. Stenzel, J.-H. Smatt, M. Linden, I. Manke and V. Schmidt, A two-stage approach to the segmentation of FIB-SEM images of highly porous materials. (pdf). Materials Characterization 69 (2012), 115-126.
• A. Spettl, M. Linden, I. Manke, and V. Schmidt, Structural 3D characterization of silica monoliths: extraction of rod networks. (pdf). In: F. Puente Leon and M. Heizmann (eds.) Forum Bildverarbeitung 2012, KIT Scientific Publishing, Karlsruhe 2012, 107-118.
• O. Stenzel, L.J.A. Koster, R. Thiedmann, S.D. Oosterhout, R.A.J. Janssen and V. Schmidt, A new approach to model-based simulation of disordered polymer blend solar cells. (pdf). Advanced Functional Materials 22 (2012), 1236-1244.
• R. Thiedmann, G. Gaiselmann, W. Lehnert and V. Schmidt, Stochastic modeling of fuel cell components. In: D. Stolten and B. Emonts (eds.) Fuel Cell Science and Engineering: Materials, Processes, Systems and Technology, Vol. 2. Wiley-VCH, Weinheim 2012, 669-702.
• R. Thiedmann, A. Spettl, O. Stenzel, T. Zeibig, J.C. Hindson, Z. Saghi, N.C. Greenham, P.A. Midgley and V. Schmidt, Networks of nanoparticles in organic-inorganic composites: Algorithmic extraction and statistical analysis. (pdf). Image Analysis and Stereology 31 (2012), 23-42.

   

  
  

  2013

• D. Froning, J. Brinkmann, U. Reimer, V. Schmidt, W. Lehnert and D. Stolten, 3D analysis, modeling and simulation of transport processes in compressed fibrous microstructures, using the Lattice Boltzmann method. (pdf). Electrochimica Acta 110 (2013), 325-334.
• G. Gaiselmann, D. Froning, C. Toetzke, C. Quick, I. Manke, W. Lehnert and V. Schmidt, Stochastic 3D modeling of non-woven materials with wet-proofing agent. (pdf). International Journal of Hydrogen Energy 38 (2013), 8448-8460.
• G. Gaiselmann, I. Manke, W. Lehnert and V. Schmidt, Extraction of curved fibers from 3D data. (pdf). Image Analysis and Stereology 32 (2013), 57-63.
• G. Gaiselmann, M. Neumann, L. Holzer, T. Hocker, M. Prestat and V. Schmidt, Stochastic 3D modeling of LSC cathodes based on structural segmentation of FIB-SEM images. (pdf). Computational Materials Science 67 (2013), 48-62.
• G. Gaiselmann, O. Stenzel, A. Kruglova, F. Muecklich and V. Schmidt, Competitive stochastic growth model for the 3D morphology of eutectic Si in Al-Si alloys. (pdf). Computational Materials Science 69 (2013), 289-298.
• C. Hirsch, D. Neuhaeuser, and V. Schmidt, Connectivity of random geometric graphs related to minimal spanning forests. (pdf). Advances in Applied Probability 45 (2013), 20-36.
• L.J.A. Koster, O. Stenzel, S.D. Oosterhout, M. Wienk, V. Schmidt and R.A.J. Janssen, Morphology and efficiency: The case of polymer/ZnO cells. (pdf). Advanced Energy Materials 3 (2013), 615-621.
• S. Lueck, A. Fichtl, M. Sailer, H. Joos, R.E. Brenner, P. Walther and V. Schmidt, Statistical analysis of the intermediate filament network in cells of mesenchymal lineage by greyvalue-oriented segmentation methods. (pdf). Computational Statistics 28 (2013), 139-160.
• D. Neuhaeuser, C. Hirsch, C. Gloaguen and V. Schmidt. A parametric copula approach for modelling shortest-path trees in telecommunication networks (pdf). In: A. Dudin and K. Turck (eds.) Analytical and Stochastic Modeling Techniques and Applications. Lecture Notes in Computer Science 7984, Springer, Berlin 2013, 324-336.
• O. Stenzel, D. Westhoff, I. Manke, M. Kasper, D.P. Kroese and V. Schmidt, Graph-based simulated annealing: A hybrid approach to stochastic modeling of complex microstructures. (pdf). Modelling and Simulation in Materials Science and Engineering 21 (2013), 055004.
• F. Voss, C. Gloaguen and V. Schmidt, Random tessellations and Cox processes. (pdf). In: E. Spodarev (ed.) Stochastic Geometry, Spatial Statistics and Random Fields: Asymptotic Methods. Lecture Notes in Mathematics, vol. 2068, Springer, Heidelberg 2013, 151-182.

   

  
  

  2014

• T. Brereton, C. Hirsch, V. Schmidt and D.P. Kroese, A critical exponent for shortest-path scaling in continuum percolation (pdf). Journal of Physics A: Mathematical and Theoretical 47 (2014), 505003.
• T. Brereton, O. Stenzel, B. Baumeier, D. Andrienko, V. Schmidt and D.P. Kroese, Efficient simulation of Markov chains using segmentation. (pdf). Methodology and Computing in Applied Probability 16 (2014), 465–484.
• M.C. Christiansen, C. Hirsch and V. Schmidt, Prediction of regionalized car insurance risks based on control variates. (pdf). Statistics & Risk Modeling 31 (2014), 163-181.
• G. Divitini, O. Stenzel, A. Ghadirzadeh, S. Guarnera, V. Russo, C.S. Casari, A.L. Bassi, A. Petrozza, F. di Fonzo, V. Schmidt and C. Ducati, Nanoscale analysis of a hierarchical hybrid solar cell in 3D. (pdf). Advanced Functional Materials 24 (2014), 3043-3050.
• Q. Duan, D.P. Kroese, T. Brereton, A. Spettl and V. Schmidt, Inverting Laguerre tessellations. (pdf). The Computer Journal 57 (2014), 1431-1440.
• D. Froning, G. Gaiselmann, U. Reimer, J. Brinkmann, V. Schmidt and W. Lehnert, Stochastic aspects of mass transport in gas-diffusion layers. (pdf). Transport in Porous Media 103 (2014), 469–495.
• G. Gaiselmann, M. Neumann, O. Pecho, T. Hocker, V. Schmidt and L. Holzer, Quantitative relationships between microstructure and effective transport properties based on virtual materials testing. (pdf). AIChE Journal 60 (2014), 1983–1999.
• G. Gaiselmann, C. Tötzke, I. Manke, W. Lehnert and V. Schmidt, 3D microstructure modeling of compressed fiber-based materials. (pdf). Journal of Power Sources 257 (2014), 52-67.
• L. Heinrich, S. Lueck and V. Schmidt, Asymptotic goodness-of-fit tests for the Palm mark distribution of stationary point processes with correlated marks. (pdf). Bernoulli 20 (2014), 1673-1697.
• E. Kokai, H. Beck, J. Weishaupt, F. Arnold, D. Sinske, U. Sebert, G. Gaiselmann, V. Schmidt, P. Walther, J. Muench, G. Posern and B. Knoell, Analysis of nuclear actin by overexpression of wildtype and actin mutant proteins. (pdf). Histochemistry and Cell Biology 141 (2014), 123-135.
• P. Kordt, O. Stenzel, B. Baumeier, V. Schmidt and D. Andrienko, Parametrization of extended Gaussian disorder models from microscopic charge transport simulations. (pdf). Journal of Chemical Theory and Computation 10 (2014), 2508-2513.
• B. Kriesche, H. Weindl, A. Smolka and V. Schmidt, Stochastic simulation model for tropical cyclone tracks, with special emphasis on landfall behavior. (pdf). Natural Hazards 73 (2014), 335-353.
• A. Lange, M.P. Hentschel, A. Kupsch, A. Hilger, I. Manke, S. Lück, V. Schmidt, R. Grothausmann, Reduzierung von Missing-Wedge-Artefakten der CT mit DIRECTT. (pdf). Materials Testing 56 (2014), 716-721.
• T. Mitsch, Y. Krämer, J. Feinauer, G. Gaiselmann, H. Markötter, I. Manke, A. Hintennach and V. Schmidt, Preparation and characterization of Li-ion graphite anodes using synchrotron tomography. (pdf). Materials 7 (2014), 4455-4472.
• D. Neuhaeuser, C. Hirsch, C. Gloaguen and V. Schmidt, Ratio limits and simulation algorithms for the Palm version of stationary iterated tessellations. (pdf). Journal of Statistical Computation and Simulation 84 (2014), 1486-1504.
• S. Pickl, A. Spettl, S. Proell, S. Elspass, W. Koenig and V. Schmidt, Linguistic distances in dialectometric intensity estimation. (pdf). Journal of Linguistic Geography 2 (2014), 1-16.
• M. Salzer, S. Thiele, R. Zengerle and V. Schmidt, On the importance of FIB-SEM specific segmentation algorithms for porous media. (pdf). Materials Characterization 95 (2014), 36-43.
• R. Shah, C. Hirsch, D.P. Kroese and V. Schmidt, Rare event probability estimation for connectivity of large random graphs. (pdf). In: A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Miller (eds.) Proceedings of the 2014 Winter Simulation Conference, IEEE, Piscataway 2014.
• A. Spettl, T. Werz, C.E. Krill III and V. Schmidt, Parametric representation of 3D grain ensembles in polycrystalline microstructures. (pdf). Journal of Statistical Physics 154 (2014), 913-928.
• O. Stenzel, C. Hirsch, V. Schmidt, T.J. Brereton, D.P. Kroese, B. Baumeier and D. Andrienko, A general framework for consistent estimation of charge transport properties via random walks in random environments. (pdf). SIAM: Multiscale Modeling and Simulation 12 (2014), 1108-1134.
• O. Stenzel, M. Salzer, V. Schmidt, P.W. Cleary and G.W. Delaney, Quantitative structural analysis of simulated granular packings of non-spherical particles. (pdf). Granular Matter 16 (2014), 457-468.
• C. Tötzke, G. Gaiselmann, M. Osenberg, J. Bohner, T. Arlt, H. Markötter, A. Hilger, F. Wieder, A. Kupsch, B.R. Müller , M.P. Hentschel, J. Banhart, V. Schmidt, W. Lehnert and I. Manke, Three-dimensional study of compressed gas diffusion layers using synchrotron X-ray imaging. (pdf). Journal of Power Sources 253 (2014), 123-131

   

  
  

  2015

• T. Brereton, C. Eckard and V. Schmidt, Estimating hitting probabilities of an interacting particle system on a graph. (pdf). Proceedings of the 21st International Congress on Modelling and Simulation, Gold Coast/Queensland, Australia 2015, 1696-1702.
• M.A. Chaput, B. Kriesche, M. Betts, A. Matindale, R. Kulik, V. Schmidt and K. Gajewski, Space-time distribution of holocene populations in North America. (pdf). Proceedings of the National Academy of Sciences U.S.A. 112 (2015), 12127-12132.
• J. Feinauer, T. Brereton, A. Spettl, M. Weber, I. Manke and V. Schmidt, Stochastic 3D modeling of the microstructure of lithium-ion battery anodes via Gaussian random fields on the sphere. (pdf). Computational Materials Science 109 (2015), 137-146.
• J. Feinauer, A. Spettl, I. Manke, S. Strege, A. Kwade, A. Pott and V. Schmidt, Structural characterization of particle systems using spherical harmonics (pdf). Materials Characterization 106 (2015), 123-133.
• J.J. van Franeker, D. Westhoff, M. Turbiez, M.M. Wienk, V. Schmidt and R.A.J. Janssen, Controlling the dominant length scale of liquid-liquid phase separation in spin-coated organic semiconductor films (pdf). Advanced Functional Materials 25 (2015), 855–863.
• G. Gaiselmann, R. Kulik and V. Schmidt, Statistical inference for curved fibrous objects in 3D, based on multiple short observations of multivariate autoregression processes. (pdf). Australian & New Zealand Journal of Statistics 57 (2015), 31-54.
• C. Hirsch, G.W. Delaney and V. Schmidt, Stationary Apollonian packings. (pdf). Journal of Statistical Physics 161 (2015), 35-72.
• C. Hirsch, G. Gaiselmann and V. Schmidt, Asymptotic properties of collective-rearrangement algorithms. (pdf). ESAIM: Probability and Statistics 19 (2015), 236-250.
• C. Hirsch, D. Neuhaeuser, C. Gloaguen and V. Schmidt. First-passage percolation on random geometric graphs and an application to shortest-path trees. (pdf). Advances in Applied Probability 47 (2015), 328-354.
• C. Hirsch, D. Neuhaeuser, C. Gloaguen and V. Schmidt. Asymptotic properties of Euclidean shortest-path trees in random geometric graphs. (pdf). Statistics and Probability Letters 107 (2015), 122-130.
• Y. Krämer, C. Birkenmaier, J. Feinauer, A. Hintennach, C.L. Bender, M. Meiler, V. Schmidt, R.E. Dinnebier, T. Schleid. A new method for quantitative marking of deposited Lithium via chemical treatment on graphite anodes in Lithium-ion cells. (pdf). Chemistry - A European Journal 21 (2015), 6062–6065.
• B. Kriesche, R. Hess, B. Reichert and V. Schmidt, A probabilistic approach to the prediction of area weather events, applied to precipitation. (pdf). Spatial Statistics 12 (2015), 15-30.
• B. Kriesche, A. Koubek, Z. Pawlas, V. Benes, R. Hess and V. Schmidt. A model-based approach to the computation of area probabilities for precipitation exceeding a certain threshold. (pdf). Proceedings of the 21st International Congress on Modelling and Simulation, Gold Coast/Queensland, Australia 2015, 2103-2109.
• D. Neuhaeuser, C. Hirsch, C. Gloaguen and V. Schmidt. Joint distributions for total lengths of shortest-path trees in telecommunication networks. (pdf). Annals of Telecommunications 70 (2015), 221-232.
• D. Neuhaeuser, C. Hirsch, C. Gloaguen and V. Schmidt, Parametric modelling of sparse random trees using 3D copulas. (pdf). Stochastic Models 31 (2015), 226-260.
• O. M. Pecho, O. Stenzel, B. Iwanschitz, P. Gasser, M. Neumann, V. Schmidt, M. Prestat, T. Hocker, R.J. Flatt, L. Holzer, 3D microstructure of Ni-YSZ anodes: Prediction of effective transport properties and optimization of redox-stability. (pdf). Materials 8 (2015), 5554-5585.
• J. Pharoah, L. Handl and V. Schmidt, The effect of electrode morphology on solid oxide fuel cell performance. (pdf). ECS Transactions 68 (2015), 2037-2045.
• S. Proell, S. Pickl, A. Spettl, V. Schmidt, E. Spodarev, S. Elspass and W. Koenig, Neue Dialektometrie mit Methoden der stochastischen Bildanalyse. (pdf). In: R. von Kehrein, A. Lameli and S. Rabanus (eds.): Regionale Variation des Deutschen – Projekte und Perspektiven. de Gruyter, Berlin / New York 2015, 173-194.
• M. Roland, A. Kruglova, G. Gaiselmann, T. Brereton, V. Schmidt, F. Mücklich and S. Diebels, Numerical simulation and comparison of a real Al-Si alloy with virtually generated alloys. (pdf). Archive of Applied Mechanics 85 (2015), 1161-1171.
• M. Salzer, T. Prill, A. Spettl, D. Jeulin, K. Schladitz and V. Schmidt, Quantitative comparison of segmentation algorithms for FIB-SEM images of porous media. (pdf). Journal of Microscopy 257 (2015), 23-30.
• V. Schmidt, G. Gaiselmann and O. Stenzel, Stochastic 3D models for the micro-structure of advanced functional materials. In: V. Schmidt (ed.) Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms (pdf). Lecture Notes in Mathematics, vol. 2120, Springer, Cham 2015, 95-141
• A. Spettl, M. Dosta, S. Antonyuk, S. Heinrich and V. Schmidt, Statistical investigation of agglomerate breakage based on combined stochastic microstructure modeling and DEM simulations. (pdf). Advanced Powder Technology 26 (2015), 1021-1030.
• A. Spettl, R. Wimmer, T. Werz, H. Heinze, S. Odenbach, C.E. Krill and V. Schmidt, Stochastic 3D modeling of Ostwald ripening at ultra-high volume fractions of the coarsening phase. (pdf). Modelling and Simulation in Materials Science and Engineering 23 (2015) 065001.
• C. Tötzke, I. Manke, G. Gaiselmann, J. Bohner, B. Müller, A. Kupsch, M. P. Hentschel, V. Schmidt, J. Banhart and W. Lehnert A dedicated compression device for high resolution X-ray tomography of compressed gas diffusion layers (pdf). Review of Scientific Instruments 86 (2015), 043702.
• D. Westhoff, J.J. van Franeker, T. Brereton, D.P. Kroese, R.A.J. Janssen and V. Schmidt, Stochastic modeling and predictive simulations for the microstructure of organic semiconductor films processed with different spin coating velocities. (pdf). Modelling and Simulation in Materials Science and Engineering 23 (2015), 045003.
• L. Zielke, C. Barchasz, S. Walus, F. Alloin, J.-C. Lepretre, A. Spettl, V. Schmidt, A. Hilger, I. Manke, J. Banhart, R. Zengerle and S. Thiele, Degradation of Li/S battery electrodes studied using X-ray phase contrast tomography. (pdf). Scientific Reports 5 (2015), 10921.

   

  
  

  2016

• T. Brereton and V. Schmidt, Stochastic models for charge transport in disordered media. (pdf). Proceedings of the 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management, IEEE Press, Beer Sheva 2016, 284-291.
• D. Froning, J.L. Yu, G. Gaiselmann, U. Reimer, I. Manke, V. Schmidt and W. Lehnert, Impact of compression on gas transport in non-woven gas diffusion layers of high temperature polymer electrolyte fuel cells. (pdf). Journal of Power Sources 318 (2016), 26-34.
• L. Handl, C. Hirsch and V. Schmidt, Methods based on spatial processes. In: C. Hennig, M. Meila, F. Murtagh and R. Rocci (eds.) Handbook of Cluster Analysis. (pdf). CRC Press, Boca Raton 2016, 289-314.
• L. Handl, L. Torbahn, A. Spettl, H. Zetzener, V. Schmidt and A. Kwade, Microstructural changes, particle tracking and shear localization of fine glass powders (pdf). Proceedings of the International Congress on Particle Technology, Nürnberg, 2016, Paper-ID 2.29.
• S. Hein, J. Feinauer, D. Westhoff, I. Manke, V. Schmidt and A. Latz, Stochastic microstructure modeling and electrochemical simulation of lithium-ion cell anodes in 3D. (pdf). Journal of Power Sources 336 (2016), 161-171.
• C. Hirsch, D. Neuhäuser and V. Schmidt. Moderate deviations for shortest-path lengths on random segment processes. (pdf). ESAIM: Probability and Statistics 20 (2016), 261-292.
• M. Kollmer, K. Meinhardt, C. Haupt, F. Liberta, M. Wulff, J. Linder, L. Handl, L. Heinrich, C. Loos, P. Westermark, G. Westermark, U. Horn, V. Schmidt, P. Walther, M. Fändrich, Electron tomography reveals the fibril structure and lipid interactions in amyloid deposits. (pdf). Proceedings of the National Academy of Sciences U.S.A. 113 (2016), 5604-5609.
• A. Koubek, Z. Pawlas, T. Brereton, B. Kriesche and V. Schmidt, Testing the random field model hypothesis for random marked closed sets. (pdf). Spatial Statistics 16 (2016), 118-136.
• A. Kruglova, M. Engstler, G. Gaiselmann, O. Stenzel, V. Schmidt, M. Roland, S. Diebels and F. Muecklich, 3D connectivity of eutectic Si as a key property defining strength of Al-Si alloys. (pdf). Computational Materials Science 120 (2016), 99-107.
• A. Kupsch, A. Lange, M.P. Hentschel, S. Lück, V. Schmidt, R. Grothausmann, A. Hilger and I. Manke, Missing wedge computed tomography by iterative algorithm DIRECTT. (pdf). Journal of Microscopy 261 (2016), 36-45.
• T. Q. Luong, N. Erwin, M. Neumann, A. Schmidt, C. Loos, V. Schmidt, M. Fändrich and R. Winter, Hydrostatic pressure increases the catalytic activity of amyloid fibril enzymes. (pdf). Angewandte Chemie 128 (2016), 12600-12604.
• D. Neuhäuser, C. Hirsch, C. Gloaguen and V. Schmidt. A stochastic model for multi-hierarchical networks. (pdf). Methodology and Computing in Applied Probability 18 (2016), 1129-1151.
• M. Neumann and V. Schmidt, Stochastic 3D modeling of amorphous microstructures: A powerful tool for virtual materials testing. (pdf). Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering, Hersonissos (Crete/Greece), June 2016, Paper-ID 8172.
• M. Neumann, J. Stanek, O. Pecho, L. Holzer, V. Benes and V. Schmidt, Stochastic 3D modeling of complex three-phase microstructures in SOFC-electrodes with completely connected phases. (pdf). Computational Materials Science 118 (2016), 353-364.
• L. Pfaffmann, C. Birkenmaier, M. Müller, W. Bauer, T. Mitsch, J. Feinauer, Y. Krämer, F. Scheiba, A. Hintennach, T. Schleid, V. Schmidt and H. Ehrenberg, Investigation of the electrochemical active surface area and lithium diffusion in graphite anodes by a novel OsO4 staining method. (pdf). Journal of Power Sources 307 (2016), 762-771.
• P. Pietsch, D. Westhoff, J. Feinauer, J. Eller, F. Marone, M.F.M. Stampanoni, V. Schmidt and V. Wood, Quantifying microstructural dynamics and electrochemical activity of graphite and silicon-graphite lithium ion battery anodes. (pdf). Nature Communications 7 (2916), 12909.
• O. Sedivy, T. Brereton, D. Westhoff, L. Polivka, V. Benes, V. Schmidt and A. Jaeger, 3D reconstruction of grains in polycrystalline materials using a tessellation model with curved grain boundaries. (pdf). Philosophical Magazine 96 (2016), 1926-1949.
• A. Spettl, S. Bachstein, M. Dosta, M. Goslinska, S. Heinrich and V. Schmidt, Bonded-particle extraction and stochastic modeling of internal agglomerate structures. (pdf). Advanced Powder Technology 27 (2016), 1761-1774.
• A. Spettl, T. Brereton, Q. Duan, T. Werz, C.E. Krill, D.P. Kroese and V. Schmidt, Fitting Laguerre tessellation approximations to tomographic image data. (pdf). Philosophical Magazine 96 (2016), 166-189.
• A. Spettl, M. Dosta, S. Bachstein, S. Heinrich and V. Schmidt, Microstructural effects in breakage behavior of real and virtual agglomerates under compressive load: Automated extraction of internal microstructures, their stochastic modeling and copula-based breakage models fitted to DEM data. (pdf). Proceedings of the International Congress on Particle Technology, Nürnberg, 2016, Paper-ID 1.18.
• A. Spettl, T. Werz, C.E. Krill III and V. Schmidt, Stochastic modeling of individual grain behavior during Ostwald ripening at ultra-high volume fractions of the coarsening phase. (pdf). Computational Materials Science 124 (2016), 290-303.
• O. Stenzel, O.M. Pecho, L. Holzer, M. Neumann and V. Schmidt, Predicting effective conductivities based on geometric microstructure characteristics. (pdf). AIChE Journal 62 (2016), 1834–1843.
• C. Tötzke, G. Gaiselmann, M. Osenberg, T. Arlt, H. Markötter, A. Hilger, A. Kupsch, B.R. Müller, V. Schmidt, W. Lehnert and I. Manke, Influence of hydrophobic treatment on the structure of compressed gas diffusion layers. (pdf). Journal of Power Sources 324 (2016), 625-636.

   

  
  

  2017

• S. Haj Ibrahim, M. Neumann, F. Klingner, V. Schmidt and T. Wejrzanowski, Analysis of the 3D microstructure of tape-cast open-porous materials via a combination of experiments and modeling. (pdf). Materials & Design 133 (2017), 216-233.
• L. Handl, L. Torbahn, A. Spettl, V. Schmidt and A. Kwade, Structural analysis and tracking of micron-sized glass particles during shear deformation: A study based on time-resolved tomographic data. (pdf). Advanced Powder Technology 28 (2017), 1920-1927.
• C. Hirsch, T. Brereton and V. Schmidt, Percolation and convergence properties of graphs related to minimal spanning forests (pdf). Electronic Journal of Probability 22 (2017), 105.
• B. Kriesche, R. Hess and V. Schmidt, A point-process approach for spatial stochastic modeling of thunderstorm cells. (pdf). Probability and Mathematical Statistics 37 (2017), 471-496.
• B. Kriesche, A. Koubek, Z. Pawlas, V. Benes, R. Hess and V. Schmidt, On the computation of area probabilities based on a spatial stochastic model for precipitation cells and precipitation amounts. (pdf). Stochastic Environmental Research and Risk Assessment 31 (2017), 2659-2674.
• M. Kulosa, M. Neumann, M. Boeff, G. Gaiselmann, V. Schmidt and A. Hartmaier, A study on microstructural parameters for the characterization of granular porous ceramics using a combination of stochastic and mechanical modelling. (pdf). International Journal of Applied Mechanics 9 (2017), 1750069.
• A. Mishra, V. Schmidt, R.A.J. Janssen and P. Bäuerle, Organic and hybrid solar cells based on well-defined organic semiconductors and morphologies. (pdf). In: K. Leo (ed.) Elementary Processes in Organic Photovoltaics. Springer 2017, 25-49.
• L. Petrich, D. Westhoff, J. Feinauer, D. Finegan, S. Daemi, P. Shearing and V. Schmidt, Crack detection in lithium-ion cells using machine learning. (pdf). Computational Materials Science 136 (2017), 297-305.
• O. Sedivy, J. Dake, C.E. Krill III, V. Schmidt and A. Jäger, Description of the 3D morphology of grain boundaries in aluminium alloys using tessellation models generated by ellipsoids. (pdf). Image Analysis & Stereology 36 (2017), 5-13.
• A. Spettl, F. Klingner, M. Dosta, S. Heinrich and V. Schmidt, Copula-based approximation of particle breakage as link between DEM and PBM. (pdf). Computers & Chemical Engineering 99 (2017), 158-170.
• O. Stenzel, M. Neumann, O. Pecho, L. Holzer and V. Schmidt, Big Data for microstructure-property relationships: A case study of predicting effective conductivities. (pdf). AIChE Journal 63 (2017), 4224–4232.
• L. Torbahn, A. Weuster, L. Handl, V. Schmidt, A. Kwade, and D.E. Wolf, Mesostructural investigation of micron-sized glass particles during shear deformation - An experimental approach vs. DEM simulation. (pdf). Proceedings of "Powders and Grains 2017: the 8th International Conference on Micromechanics of Granular Media". EPJ Web of Conferences 140 (2017), 03027.
• M. Weber, A. Spettl, M. Dosta, S. Heinrich, V. Schmidt, Simulation-based investigation of core-shell agglomerates: influence of spatial heterogeneity in particle sizes on breakage characteristics. (pdf). Computational Materials Science 137 (2017), 100-107.
• D. Westhoff, J. Feinauer, K. Kuchler, T. Mitsch, I. Manke, S. Hein, A. Latz and V. Schmidt, Parametric stochastic 3D model for the microstructure of anodes in lithium-ion power cells. (pdf). Computational Materials Science 126 (2017), 453-467.
• D. Westhoff, K. Kuchler, J. Feinauer, L. Petrich and V. Schmidt, Analyse, Modellierung und Simulation von tomographischen Bilddaten für die 3D Mikrostruktur von Elektrodenmaterial in Lithium-Ionen-Batterien. (pdf). In: T. Bernthaler and G. Schneider (eds.) Fortschritte in der Metallographie. Sonderband der Praktischen Metallographie zur 51. Metallographie-Tagung in Aalen, 13.-15.09.2017, pp. 189-194.

   

  
  

  2018

• W. Close, M. Neumann, A. Schmidt, M. Hora, K. Annamalai, M. Schmidt, B. Reif, V. Schmidt, N. Grigorieff and M. Fändrich, Physical basis of amyloid fibril polymorphism. (pdf). Nature Communications 9 (2018), 699.
• J. Feinauer, D. Westhoff, K. Kuchler, and V. Schmidt, 3D microstructure modeling and simulation of materials in lithium-ion battery cells (pdf). In: M. Baum, G. Brenner, J. Grabowski, T. Hanschke, S. Hartmann, and A. Schöbel (eds.), Simulation Science: Proceedings of the Clausthal-Göttingen International Workshop on Simulation Science, Göttingen 2017. Communications in Computer and Information Science (CIS), Springer 2018, pp. 128-144.
• O. Furat, T. Leißner, R. Ditscherlein, O. Sedivy, M. Weber, K. Bachmann, J. Gutzmer, U. Peuker and V. Schmidt, Description of ore particles from XMT images, supported by SEM-based image analysis. (pdf). Microscopy and Microanalysis 24 (2018), 461-470.
• O. Furat, B. Prifling, D. Westhoff, M. Weber and V. Schmidt, Statistische Analyse und Modellierung von komplexen Partikelsystemen in 3D mittels tomographischer Bilddaten. (pdf). In: H. Clemens, S. Mayer and M. Panzenböck (eds.) Fortschritte in der Metallographie. Sonderband der Praktischen Metallographie zur 15. Internationalen Metallographie-Tagung in Leoben, 19.-21.09.2018, pp. 341-346.  
• R. Hess, B. Kriesche, P. Schaumann, B.K. Reichert and V. Schmidt, Area precipitation probabilities derived from point forecasts for operational weather and warning service applications (pdf). Quarterly Journal of the Royal Meteorological Society 144 (2018), 2392-2403.
• T. Hofmann, D. Westhoff, J. Feinauer, H. Andrä, J. Zausch, V. Schmidt and R. Müller, Electro-chemo-mechanical simulation of 3D microstructures for lithium-ion batteries. (pdf). Proceedings of the 6th European Conference on Computational Mechanics, Glasgow 2018, pp. 123-134.
• K. Kuchler, B. Prifling, D. Schmidt, H. Markötter, I. Manke, T. Bernthaler, V. Knoblauch, and V. Schmidt, Analysis of the 3D microstructure of experimental cathode films for lithium-ion batteries under increasing compaction. (pdf). Journal of Microscopy 272 (2018), 96-110.
• K. Kuchler, D. Westhoff, J. Feinauer, T. Mitsch, I. Manke and V. Schmidt, Stochastic model for the 3D microstructure of pristine and cyclically aged cathodes in Li-ion batteries (pdf). Modelling and Simulation in Materials Science and Engineering 26 (2018), 035005.
• E. Machado Charry, M. Neumann, J. Lahti, R. Schennach, V. Schmidt and K. Zojer, Pore space extraction and characterization of sack paper using micro-CT. (pdf). Journal of Microscopy 272 (2018), 35-46.
• M. Neumann, O. Furat, D. Hlushkou, U. Tallarek, L. Holzer and V. Schmidt, On microstructure-property relationships derived by virtual materials testing with an emphasis on effective conductivity (pdf). In: M. Baum, G. Brenner, J. Grabowski, T. Hanschke, S. Hartmann, and A. Schöbel (eds.), Simulation Science: Proceedings of the Clausthal-Göttingen International Workshop on Simulation Science, Göttingen 2017. Communications in Computer and Information Science (CIS), Springer 2018, pp. 145-158.
• B. Prifling, O. Furat, D. Schmidt, H. Markötter, I. Manke, T. Bernthaler, V. Knoblauch and V. Schmidt, 3D-Mikrostrukturanalyse von Elektroden in Lithium-Ionen-Batterien. (pdf). DGM-Jahresmagazin Materialographie 2018, pp. 88-91.
• S. Schlüter, S. Blaser, M. Weber, V. Schmidt and D. Vetterlein, Quantification of root growth patterns from the soil perspective via root distance models. (pdf). Frontiers in Plant Science 9 (2018), 1084.
• A. Schnepf, K. Huber, M. Landl, F. Meunier, L. Petrich and V. Schmidt, Statistical characterization of the root system architecture model CRootBox. (pdf). Vadose Zone Journal 17 (2018, 170212.
• O. Sedivy, D. Westhoff, J. Kopecek, C.E. Krill III and V. Schmidt, Data-driven selection of tessellation models describing polycrystalline microstructures (pdf). Journal of Statistical Physics 172 (2018), 1223-1246.
• D. Westhoff, D.P. Finegan, P.R. Shearing and V. Schmidt, Algorithmic structural segmentation of defective particle systems: A lithium-ion battery study. (pdf). Journal of Microscopy 270 (2018), 71-82.
• D. Westhoff, K. Kuchler, J. Feinauer, L. Petrich and V. Schmidt, Analysis, modeling and simulation of tomographic image data for the 3D microstructure of electrode material in lithium-ion batteries (pdf). Practical Metallography 55 (2018), 134-146.
• D. Westhoff, I. Manke and V. Schmidt, Generation of virtual lithium-ion battery electrode microstructures based on spatial stochastic modeling. (pdf). Computational Materials Science 151 (2018), 53-64.
• D. Westhoff, J. Skibinski, O. Sedivy, B. Wysocki, T. Wejrzanowski and V. Schmidt, Investigation of the relationship between morphology and permeability for open-cell foams using virtual materials testing. (pdf). Materials & Design 147 (2018), 1-10.

   

  
  

  2019

• C. Baldermann, A. Baldermann, O. Furat, M. Krüger, M. Nachtnebel, H. Schroettner, J. Juhart, V. Schmidt and J. Tritthart, Mineralogical and microstructural response of hydrated cement blends to leaching. (pdf). Construction & Building Materials 229 (2019), 116902.
• L. Brendel, A. Weuster, D.E. Wolf, H. Zetzener, S. Strege, L. Torbahn, A. Kwade, L. Handl and V. Schmidt, Structure of sheared cohesive granular bulk. (pdf). In: S. Antonyuk (ed.) Particles in Contact - Micro Mechanics, Micro Process Dynamics and Particle Collectives. Springer International Publishing, Cham 2019, pp. 607-629.
• M. Dosta, M. Weber, V. Schmidt and S. Antonyuk, DEM analysis of breakage behavior of bicomponent agglomerates. (pdf). In: S. Antonyuk (ed.) Particles in Contact - Micro Mechanics, Micro Process Dynamics and Particle Collectives. Springer International Publishing, Cham 2019, pp. 165-183.
• J. Feinauer, S. Hein, S. Rave, S. Schmidt, D. Westhoff, J. Zausch, O. Iliev, A. Latz, M. Ohlberger and V. Schmidt, MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction (pdf). Journal of Computational Science 31 (2019), 172-184.
• O. Furat, T. Leißner, K. Bachmann, J. Gutzmer, U. Peuker and V. Schmidt, Stochastic modeling of multidimensional particle characteristics using parametric copulas. (pdf). Microscopy and Microanalysis 25 (2019), 720-734.
• O. Furat, B. Prifling, D. Westhoff, M. Weber and V. Schmidt, Statistische Analyse und Modellierung von komplexen Partikelsystemen in 3D mittels tomographischer Bilddaten. Practical Metallography 56 (2019), 787-796.
• O. Furat, M.Y. Wang, M. Neumann, L. Petrich, M. Weber, C.E. Krill III and V. Schmidt, Machine learning techniques for the segmentation of tomographic image data of functional materials. (pdf). Frontiers in Materials 6 (2019), 145.
• K. Gajewski, B. Kriesche, M.A. Chaput, R. Kulik and V. Schmidt, Human-vegetation interactions during the Holocene in North America (pdf). Vegetation History and Archaeobotany 28 (2019), 635-647.
• L. Kaack, C.M. Altaner, C. Carmesin, A. Diaz, M. Holler, C. Kranz, G. Neusser, M. Odstrcil, H.J. Schenk, V. Schmidt, M. Weber, Y. Zhang and S. Jansen, Function and three-dimensional structure of intervessel pit membranes in angiosperm xylem: A review. (pdf). IAWA Journal of the International Association of Wood Anatomists 40 (2019), 673-702.
• P. Kral, J. Stanek, L. Kuncicka, F. Seitl, L. Petrich, V. Schmidt, V. Benes and V. Sklenicka, Microstructure changes in HPT-processed copper occurring at room temperature. (pdf). Materials Characterization 151 (2019), 602-611.
• M. Neumann, B. Abdallah, L. Holzer, F. Willot and V. Schmidt, Stochastic 3D modeling of three-phase microstructures for predicting transport properties: a case study. (pdf). Transport in Porous Media 128 (2019), 179-200.
• M. Neumann, N. Bohn, A. Wagner, M. Osenberg, A. Hilger, I. Manke, J. Binder and V. Schmidt, Characterization of hierarchically structured electrodes with different thicknesses by means of experiments and image analysis. (pdf). Materials Characterization 155 (2019), 109778.
• M. Neumann, R. Cabiscol, M. Osenberg, H. Markötter, I. Manke, J.-H. Finke and V Schmidt, Characterization of the 3D microstructure of Ibuprofen tablets by means of synchrotron tomography. (pdf). Journal of Microscopy 274 (2019), 102-113.
• M. Neumann, C. Hirsch, J. Stanek, V. Benes and V. Schmidt, Estimation of geodesic tortuosity and constrictivity in stationary random closed sets. (pdf). Scandinavian Journal of Statistics 46 (2019), 848-884.
• M. Neumann, M. Osenberg, A. Hilger, D. Franzen, T. Turek, I. Manke, V. Schmidt, On a pluri-Gaussian model for three-phase microstructures, with applications to 3D image data of gas-diffusion electrodes. (pdf). Computational Materials Science 156 (2019), 325-331.
• L. Petrich, J. Stanek, M.Y. Wang, D. Westhoff, L. Heller, P. Sittner, C.E. Krill III, V. Benes and V. Schmidt, Reconstruction of grains in polycrystalline materials from incomplete data using Laguerre tessellations. (pdf). Microscopy and Microanalysis 25 (2019), 743-752.
• B. Prifling, A. Ridder, A. Hilger, M. Osenberg, I. Manke, K.P. Birke and V. Schmidt, Analysis of structural and functional aging of electrodes in lithium-ion batteries during rapid charge and discharge rates using synchrotron tomography. (pdf). Journal of Power Sources 443 (2019), 227259.
• B. Prifling, D. Westhoff, D. Schmidt, H. Markötter, I. Manke, V. Knoblauch and V. Schmidt, Parametric microstructure modeling of compressed cathode materials for Li-ion batteries. (pdf). Computational Materials Science 169 (2019), 109083.
• D. Westhoff, T. Danner, S. Hein, A. Hoffmann, R. Scurtu, L.S. Kremer, A. Hilger, I. Manke, M. Wohlfahrt-Mehrens, A. Latz and V. Schmidt, Analysis of microstructural effects in multi-layer lithium-ion battery cathodes. (pdf). Materials Characterization 151 (2019), 166-174.

   

  
  

  2020

• R. Ditscherlein, O. Furat, M. de Langlard, J. Martins de Souza e Silva, J. Sygusch, M. Rudolph, T. Leißner, V. Schmidt and U.A. Peuker, Multi-scale tomographic analysis for micron-sized particulate samples. (pdf). Microscopy and Microanalysis 26 (2020), 676-688.
• O. Furat, M. Masuhr, F.E. Kruis and V. Schmidt, Stochastic modeling of classifying aerodynamic lenses for separation of airborne particles by material and size. (pdf). Advanced Powder Technology 31 (2020), 2215-2226.
• S. Hein, T. Danner, D. Westhoff, B. Prifling, R. Scurtu, L. Kremer, A. Hoffmann, A. Hilger, M. Osenberg, I. Manke, M. Wohlfahrt-Mehrens, V. Schmidt, A. Latz, Influence of conductive additives and binder on the impedance of lithium-ion battery electrodes: Effect of morphology. (pdf). Journal of The Electrochemical Society 167 (2020), 013546.
• L. Heller, I. Karafiatova, L. Petrich, Z. Pawlas, P. Shayanfard, V. Benes, V. Schmidt and P. Sittner, Numerical microstructure model of NiTi wire reconstructed from 3D-XRD data. (pdf). Modelling and Simulation in Materials Science and Engineering 28 (2020), 055007.
• T. Hofmann, D. Westhoff, J. Feinauer, H. Andrä, J. Zausch, V. Schmidt and R. Müller, Electro-chemo-mechanical simulation for lithium ion batteries across the scales. (pdf). International Journal of Solids and Structures 184 (2020), 24-39.
• J. Kopecek, J. Stanek, S. Habr, F. Seitl, L. Petrich, V. Schmidt and V. Benes, Analysis of the polycrystalline microstructure of AlMgSc alloys observed by 3D EBSD. (pdf). Image Analysis & Stereology 39 (2020), 1-11.
• L. Kremer, T. Danner, S. Hein, A. Hoffmann, B. Prifling, V. Schmidt, A. Latz and M. Wohlfahrt-Mehrens, Influence of the electrolyte salt concentration on the rate capability of ultra-thick NCM 622 electrodes. (pdf). Batteries & Supercaps 3 (2020), 1172-1182.
• L. Kremer, A. Hoffmann, T. Danner, S. Hein, B. Prifling, D. Westhoff, C. Dreer, A. Latz, V. Schmidt and M. Wohlfahrt-Mehrens, Manufacturing process for improved ultra-thick cathodes in high-energy Li-ion batteries (pdf). Energy Technology 8 (2020), 1900167.
• B. Kriesche, M. Chaput, R. Kulik, K. Gajewski and V. Schmidt Estimation of spatio-temporal correlations of prehistoric population and vegetation in North America (pdf). Geographical Analysis 52 (2020), 371-393.
• J. Le Houx, M. Osenberg, M. Neumann, J. Binder, V. Schmidt, I. Manke, T. Carraro and D. Kramer, Effect of tomography resolution on calculation of microstructural properties for lithium ion porous electrodes. (pdf). ECS Transactions 97 (2020), 255.
• M. Neumann, O. Stenzel, F. Willot, L. Holzer and V. Schmidt, Quantifying the influence of microstructure on effective conductivity and permeability: virtual materials testing. (pdf). International Journal of Solids and Structures 184 (2020), 211-220.
• H. Pagel, B. Kriesche, M. Uksa, C. Poll, E. Kandeler, V. Schmidt and T. Streck, Spatial control of carbon dynamics in soil by microbial decomposer communities. (pdf). Frontiers in Environmental Science 8 (2020), 2.
• L. Petrich, G. Lohrmann, M. Neumann, F. Martin, A. Frey, A. Stoll and V. Schmidt, Detection of Colchicum autumnale in drone images, using a machine-learning approach. (pdf). Precision Agriculture 21 (2020), 1291-1303.
• P. Schaumann, M. de Langlard, R. Hess, P. James and V. Schmidt, A calibrated combination of probabilistic precipitation forecasts to achieve a seamless transition from nowcasting to very-short-range forecasting. (pdf). Weather and Forecasting 35 (2020), 773-791.
• A. Schnepf, C.K. Black, V. Couvreur, B.M. Delory, C. Doussan, A. Koch, T. Koch, M. Javaux, M. Landl, D. Leitner, G. Lobet, T.H. Mai, F. Meunier, L. Petrich, J. Postma, E. Priesack, V. Schmidt, J. Vanderborght, H. Vereecken and M. Weber. Call for participation: Collaborative benchmarking of functional-structural root architecture models. The case of root water uptake. (pdf). Frontiers in Plant Science 11 (2020), 316.
• J. Schreier, O. Furat, M. Cankaya, V. Schmidt and U. Bröckel, Automated evaluation of contact angles in a three-phase system of selective agglomeration in liquids. (pdf). Image Analysis & Stereology 20 (2020), 179-188.
• F. von Loeper, P. Schaumann, M. de Langlard, R. Hess, R. Bäsmann and V. Schmidt, Probabilistic prediction of solar power supply to distribution networks, using forecasts of global horizontal irradiation. (pdf). Solar Energy 203 (2020), 145-156.
• A.C. Wagner, N. Bohn, H. Geßwein, M. Neumann, M. Osenberg, A. Hilger, I. Manke, V. Schmidt and J.R. Binder, Hierarchical structuring of NMC111-cathode materials in lithium-ion batteries: An in-depth study of the influence of primary and secondary particle sizes on electrochemical performance. (pdf). ACS Applied Energy Materials 3 (2020), 12565-12574.
• M. Weber, A. Bäuerle, M. Schmidt, M. Neumann, M. Fändrich, T. Ropinski and V. Schmidt, Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning (pdf). Journal of Microscopy 277 (2020), 12-22.
• Y. Zhang, C. Carmesin, L. Kaack, M.M. Klepsch, M. Kotowska, T. Matei, H.J. Schenk, M. Weber P. Walther, V. Schmidt, S. Jansen, High porosity with tiny pore constrictions and unbending pathways characterize the 3D structure of intervessel pit membranes in angiosperm xylem. (pdf). Plant, Cell & Environment 43 (2020), 116-130.

   

  
  

  2021

• J. Allen, P.J. Weddle, A. Verma, A. Mallarapu, F. Usseglio-Viretta, D.P. Finegan, A. Colclasure, W. Mai, V. Schmidt, O. Furat, D. Diercks, T. Tanim and K. Smith, Quantifying the influence of charge rate and cathode-particle architectures on degradation of Li-ion cells through 3D continuum-level damage models. (pdf). Journal of Power Sources 512 (2021), 230415.
• O. Birkholz, M. Neumann, V. Schmidt and M. Kamlah, Statistical investigation of structural and transport properties of densely-packed assemblies of overlapping spheres using the resistor network method. (pdf). Powder Technology 378 (2021), 659-666.
• E. Blagodatskaya, M. Tarkka, C. Knief, R. Koller, S. Peth, V. Schmidt, S. Spielvogel, D. Uteau, M. Weber, B.S. Razavi, Bridging microbial functional traits with localized process rates at soil interfaces. (pdf). Frontiers in Microbiology 12 (2021), 625697.
• V. De Lauri, L. Krumbein, S. Hein, B. Prifling, V. Schmidt, T. Danner and A. Latz, Beneficial effects of 3D structured electrodes for the fast-charging of lithium-ion batteries. (pdf). ACS Applied Energy Materials 4 (2021), 13847-13859.
• S. Englisch, R. Ditscherlein, O. Furat, L. Hansen, D. Drobek, J. Wirth, S. Carl, T. Leißner, B. A. Zubiri, A. Weber, V. Schmidt, U. Peuker and E. Spiecker, Comprehensive, multidimensional and correlative particle characterization of a saxolite and talcum compound to support the understanding of complex separation processes. (pdf). Microscopy and Microanalysis 27, Supplement 1 (2021), 934-937.
• O. Furat, A. Baldermann, C. Baldermann, M. Dietzel and V. Schmidt, Quantitative assessment of microstructural changes of hydrated cement blends due to leaching and carbonation, based on statistical analysis of image data. (pdf). Construction and Building Materials 302 (2021), 124370.
• O. Furat, D. Finegan, D. Diercks, F. Usseglio-Viretta, K. Smith and V. Schmidt, Mapping the architecture of single electrode particles in 3D, using electron backscatter diffraction and machine learning segmentation. (pdf). Journal of Power Sources 483 (2021), 229148.
• O. Furat, U. Frank, M. Weber, S. Wawra, W. Peukert and V. Schmidt, Estimation of bivariate probability distributions of nanoparticle characteristics, based on univariate measurements. (pdf). Inverse Problems in Science and Engineering 29 (2021), 1343-1368.
• O. Furat, L. Petrich, D. Finegan, D. Diercks, F. Usseglio-Viretta, K. Smith and V. Schmidt, Artificial generation of representative single Li-ion electrode particle architectures from microscopy data. (pdf). npj Computational Materials 7 (2021), 105.
• L. Kaack, M. Weber, E. Isasa, Z. Karimi, S. Li, L. Pereira, C. Trabi, Y. Zhang, H. J. Schenk, B. Schuldt, V. Schmidt and S. Jansen, Pore constrictions in intervessel pit membranes provide a mechanistic explanation for xylem embolism resistance in angiosperms. (pdf). New Phytologist 230 (2021), 1829-1843.
• M. Landstorfer, B. Prifling and V. Schmidt, Mesh generation for periodic 3D microstructure models and computation of effective properties. (pdf). Journal of Computational Physics 431 (2021), 110071.
• M. Neumann, E. Machado Charry, E. Baikova, A. Hilger, U. Hirn, R. Schennach, I. Manke, V. Schmidt and K. Zojer, Capturing centimeter-scale local variations in paper pore space via µ-CT: A benchmark study using calendered paper. (pdf). Microscopy and Microanalysis 27 (2021), 1305–1315.
• M. Neumann, E. Machado Charry, K. Zojer and V. Schmidt, On variability and interdependence of local porosity and local tortuosity in porous materials: a case study for sack paper. (pdf). Methodology and Computing in Applied Probability 23 (2021), 613–627.
• L. Petrich, O. Furat, M.Y. Wang, C.E. Krill III and V. Schmidt, Efficient fitting of 3D tessellations to curved polycrystalline grain boundaries. (pdf). Frontiers in Materials 8 (2021), 60602.
• L. Petrich, A. Stoll and V. Schmidt, Detection of Senecio jacobaea in drone images, using a machine-learning approach. (pdf). Proceedings of the 21st Symposium of the European Grassland Federation (EGF 2021): Grassland Science in Europe, 26 (2021), 178-180.
• B. Prifling, M. Ademmer, F. Single, O. Benevolenski, A. Hilger, M. Osenberg, I. Manke and V. Schmidt, Stochastic 3D microstructure modeling of anodes in Lithium-ion batteries with a particular focus on local heterogeneities. (pdf). Computational Materials Science 192 (2021), 110354.
• B. Prifling, M. Neumann, D. Hlushkou, C. Kübel, U. Tallarek and V. Schmidt, Generating digital twins of mesoporous silica by graph-based stochastic microstructure modeling (pdf). Computational Materials Science 187 (2021), 109934.
• B. Prifling, M. Röding, P. Townsend, M. Neumann and V. Schmidt, Large-scale statistical learning for mass transport prediction in porous materials using 90,000 artificially generated microstructures. (pdf). Frontiers in Materials 8 (2021), 786502.
• L. Radamaker, S. Karimi-Farsijani, G. Andreotti, J. Baur, M. Neumann, K.-H. Gührs, S. Schreiner, N. Berghaus, R. Motika, C. Haupt, P. Walther, V. Schmidt, S. Huhn, U. Hegenbart, S. Schönland, S. Wiese, C. Read, M. Schmidt and M. Fändrich, Role of mutations and post-translational modifications in systemic AL amyloidosis studied by cryo-EM. (pdf). Nature Communications 12 (2021), 6434.
• P. Schaumann, R. Hess, M. Rempel, U. Blahak and V. Schmidt, A calibrated and consistent combination of probabilistic forecasts for the exceedance of several precipitation thresholds using neural networks. (pdf). Weather and Forecasting 36 (2021), 1079-1096.
• A. Schinke-Nendza, F. von Loeper, P. Osinski, P. Schaumann, V. Schmidt and C. Weber, Probabilistic forecasting of photovoltaic power supply - A hybrid apporach using D-vine copulas to model spatial dependencies. (pdf). Applied Energy 304 (2021), 117599.
• F. Seitl, L. Petrich, C.E. Krill III, J. Stanek, V. Schmidt and V. Benes, Exploration of Gibbs-Laguerre tessellations for three-dimensional stochastic modeling. (pdf). Methodology and Computing in Applied Probability 23 (2021), 669-693.
• F. von Loeper, T. Kirstein, B. Idlbi, H. Ruf, G. Heilscher and V. Schmidt, Probabilistic analysis of solar power supply using D-vine copulas based on meteorological variables. (pdf). In: S. Goettlich, M. Herty and A. Milde (eds.) Mathematical Modeling, Simulation and Optimization for Power Engineering and Management. Mathematics in Industry, vol 34. Springer, 2021, pp. 51-68.
• M. Weber, T. Wilhelm and V. Schmidt, Multidimensional characterization of time-dependent image data: A case study for the peripheral nervous system in aging mice. (pdf). Image Analysis & Stereology 40 (2021), 85-94.

   

  
  

  2022

• M. Ademmer, B. Prifling, M. Weller, A. Hilger, M. Osenberg, I. Manke, V. Knoblauch and V. Schmidt, Investigating the influence of the calendering process on the 3D microstructure of single-layer and two-layer cathodes in lithium-ion batteries using synchrotron tomography. (pdf). Journal of Power Sources 548 (2022), 231960.
• R. Ditscherlein, O. Furat, E. Löwer, R. Mehnert, R. Trunk, T. Leißner, M.J. Krause, V. Schmidt and U.A. Peuker, PARROT - A pilot study on the open access provision of particle discrete tomographic datasets. (pdf). Microscopy and Microanalysis 28 (2022), 350-360.
• O. Furat, D.P. Finegan, Z. Yang, T. Kirstein, K. Smith and V. Schmidt, Super-resolving microscopy images of Li-ion electrodes for fine-feature quantification using generative adversarial networks. (pdf). npj Computational Materials 8 (2022), 68.
• O. Furat, D.P. Finegan, Z. Yang, T.R. Tanim, K. Smith and V. Schmidt, Quantifying the impact of charge rate and number of cycles on structural degeneration of Li-ion battery electrodes. (pdf, pdf). Journal of The Electrochemical Society 169 (2022), 100541.
• T. Knorr, S. Hein, B. Prifling, M. Neumann, T. Danner, V. Schmidt and A.Latz, Simulation-based and data-driven techniques for quantifying the influence of the carbon binder domain on electrochemical properties of Li-ion batteries. (pdf). Energies 15 (2022), 7821.
• M.P. Lautenschläger, B. Prifling, B. Kellers, J. Weinmiller, T. Danner, V. Schmidt and A. Latz, Understanding electrolyte filling of lithium ion batteries on the pore-scale using the lattice Boltzmann method. (pdf). Batteries & Supercaps 5 (2022), e202200090.
• M. Neumann, M. Ademmer, M. Osenberg, A. Hilger, F. Wilde, S. Muench, M.D. Hager, U.S. Schubert, I. Manke and V. Schmidt, 3D microstructure characterization of polymer battery electrodes by statistical image analysis based on synchrotron X-ray tomography. (pdf). Journal of Power Sources 542 (2022), 231783.
• L. Petrich, G. Lohrmann, F. Martin, A. Stoll and V. Schmidt, Model-based scenario analysis for effective site-specific weed control on grassland sites. (pdf). Computers and Electronics in Agriculture 202 (2022), 107332.
• B. Prifling, M. Neumann, S. Hein, T. Danner, E. Heider, A. Hoffmann, P. Rieder, A. Hilger, M. Osenberg, I. Manke, M. Wohlfahrt-Mehrens, A. Latz and V. Schmidt, Quantitative comparison of different approaches for reconstructing the carbon-binder domain from tomographic image data of cathodes in lithium-ion batteries and its influence on electrochemical properties. (pdf). Energy Technology 10 (2022), 2200784.
• M. Rempel, P. Schaumann, R. Hess, V. Schmidt and U. Blahak, Adaptive blending of probabilistic precipitation forecasts with emphasis on calibration and temporal forecast consistency. (pdf). Artificial Intelligence for the Earth Systems 1 (2022), e20020.

   

  
  

  2023

• M. Ademmer, P.-H. Su, L. Dodell, J. Asenbauer, M. Osenberg, A. Hilger, J.-K- Chang, I. Manke, M. Neumann, V. Schmidt and D. Bresser, Unveiling the impact of crosslinking redox-active polymers on their electrochemical behavior by 3D imaging and statistical microstructure analysis. (pdf, pdf). Journal of Physical Chemistry C 127 (2023), 19366-19377.
• K.-M. Aigner, P. Schaumann, F. von Loeper, A. Martin, V. Schmidt and F. Liers, Robust DC optimal power flow with modeling of solar power supply uncertainty via R-vine copulas. (pdf). Optimization and Engineering 24 (2023), 1951–1982.
• S. Englisch, R. Ditscherlein, T. Kirstein, L. Hansen, O. Furat, D. Drobek, T. Leißner, B. Apeleo Zubiri, A.P. Weber, V. Schmidt, U.A. Peuker and E. Spiecker, 3D analysis of equally X–ray attenuating mineralogical phases utilizing a correlative tomographic workflow across multiple length scales. (pdf, pdf). Powder Technology 419 (2023), 118343.
• C. Hirsch, M. Neumann and V. Schmidt, Asymptotic properties of one-layer artificial neural networks with sparse connectivity. (pdf). Statistics and Probability Letters 193 (2023), 109698.
• L. Holzer, P. Marmet, M. Fingerle, A. Wiegmann, M. Neumann and V. Schmidt, Tortuosity and microstructure effects in porous media: classical theories, empirical data and modern methods. (pdf). Springer Series in Materials Science, vol. 333, Springer, Cham 2023.
• P. Leitl, E. Machado Charry, E. Baikova, M. Neumann, U. Hirn, V. Schmidt and K. Zojer, Joint distributions of local pore space properties quantitatively explain simulated air flow variations in paper. (pdf). Transport in Porous Media 148 (2023), 627–648.
• T. Kirstein, L. Petrich, R.P.R. Purohit, J.-S. Micha, and V. Schmidt, CNN-based Laue spot morphology predictor for reliable crystallographic descriptor estimation. (pdf). Materials 16 (2023), 3397.
• M. Neumann, S.E. Wetterauer, M. Osenberg, A. Hilger, P. Gräfensteiner, A. Wagner, N. Bohn, J.R. Binder, I. Manke, T. Carraro and V. Schmidt, A data-driven modeling approach to quantify morphology effects on transport properties in nanostructured NMC particles. (pdf). International Journal of Solids and Structures 280 (2023), 112394.
• M. Osenberg, A. Hilger, M. Neumann, A. Wagner, N. Bohn, J.R. Binder, V. Schmidt, J. Banhart and I. Manke, Classification of FIB/SEM tomography images for highly porous multiphase materials using random forest classifiers. (pdf). Journal of Power Sources 570 (2023), 233030.
• B. Prifling, M. Weber, N. Ray, A. Prechtel, M. Phalempin, S. Schlüter, D. Vetterlein and V. Schmidt, Quantifying the impact of 3D pore space morphology on soil gas diffusion in loam and sand. (pdf). Transport in Porous Media 149 (2023), 501-527.
• A. Ridder, B. Prifling, A. Hilger, M. Osenberg, M. Weber, I. Manke, K.P. Birke and V. Schmidt, Quantitative analysis of cyclic aging of lithium-ion batteries using synchrotron tomography and electrochemical impedance spectroscopy. (pdf). Electrochimica Acta 444 (2023), 142003.
• P. Rieder, L. Petrich, I. Serrano Munoz, R. Fernandez, G. Bruno and V. Schmidt, Statistical comparison of substructures in pure aluminum before and after creep deformation, based on EBSD image data. (pdf). Microscopy and Microanalysis 29 (2023), 1889-1900.
• M. Weber, A. Grießer, E. Glatt, A. Wiegmann and V. Schmidt, Modeling curved fibers by fitting R-vine copulas to their Frenet representations. (pdf). Microscopy and Microanalysis 29 (2023), 155–165.
• M. Weber, A. Grießer, D. Mosbach, E. Glatt, A. Wiegmann and V. Schmidt, Copula-based modeling and simulation of 3D systems of curved fibers by isolating intrinsic fiber properties and external effects. (pdf). Scientific Reports 13 (2023), 19359.
• M. Weber, M. Neumann, M. Schmidt, P.B. Pfeiffer, A. Bansal, M. Fändrich and V. Schmidt, Segmentation and morphological analysis of amyloid fibrils from cryo-EM image data. (pdf). Journal of Mathematics in Industry 13 (2023), 2.
• T. Wilhelm, J. Sandbrink, O. Furat, K. Bachmann, M. Rudolph and V. Schmidt, Parametric stochastic modeling of particle descriptor vectors for studying the influence of ultrafine particle wettability and morphology on flotation-based separation behavior. (pdf). Powders 2 (2023), 353-371.

   

  
  

  2024

• W.-X. Chen, J. M. Allen, S. Rezaei, O. Furat, V. Schmidt, A. Singh, P. J. Weddle, K. Smith and B.-X. Xu, Cohesive phase-field chemo-mechanical simulations of inter- and trans-granular fractures in polycrystalline NMC cathodes via image-based 3D reconstruction. (pdf). Journal of Power Sources 596 (2024), 234054.
• A.G. Clark, M. Foster, B. Prifling, N. Walkinshaw, R. Hierons, V. Schmidt and B. Turner, Testing causality in scientific modelling software. (pdf). ACM Transactions on Software Engineering and Methodology 33 (2024), 10.
• M. Clausnitzer, T. Danner, B. Prifling, M. Neumann, V. Schmidt and A. Latz, Influence of electrode structuring techniques on the performance of all-solid-state batteries. (pdf, pdf), Batteries & Supercaps 7 (2024), e202300522.
• L. Fuchs, T. Kirstein, C. Mahr, O. Furat, V. Baric, A. Rosenauer, L. Mädler and V. Schmidt, Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data. (pdf). Machine Learning: Science and Technology 5 (2024), in print.
• O. Furat, D.P. Finegan, Z. Yang, M. Neumann, S. Kim, T.R. Tanim, P. Weddle, K. Smith and V. Schmidt, Quantifying the impact of operating temperature on cracking in battery electrodes, using super-resolution of microscopy images and stereology. (pdf, pdf). Energy Storage Materials 64 (2024), 103036.
• O. Furat, T. Kirstein, T. Leißner, K. Bachmann, J. Gutzmer, U.A. Peuker und V. Schmidt, Multidimensional characterization of particle morphology and mineralogical composition using CT data and R-vine copulas. (pdf). Minerals Engineering 206 (2024), 108520.
• P. Gräfensteiner, J. Friebel, L. Ditscherlein, O. Furat, U. A. Peuker and V. Schmidt, An AFM-based approach for quantification of guest particle deformation during mechano-fusion. (pdf). Powder Technology 434 (2024), 119293.
• I.-L. Haußmann, L. Petrich, G. Lohrmann, V. Schmidt and A. Stoll, Bilddatenakquisition zur Entwicklung eines Machine-Learning-Detektors für Grünlandunkräuter. (pdf). In: C. Hoffmann, A. Stein, E. Gallmann, J. Dörr, C. Krupitzer and H. Floto (eds.), Referate der 43. GIL-Jahrestagung in Hohenheim, 27.–28.Februar 2024: GI-Edition Informatik in der Land-, Forst- und Ernährungswirtschaft Fokus: Biodiversität fördern durch digitale Landwirtschaft, ISBN 978-3-88579-738-8, pp. 287–292.
• T. Kirstein, S. Aßmann, O. Furat, S. Will and V. Schmidt, Determination of droplet size from wide-angle light scattering image data using convolutional neural networks. (pdf). Machine Learning: Science and Technology 5 (204), 015049.
• L. Monteiro Fernandes, P. Rieder, M. Neumann, A. Mulard, H. Proudhon, V. Schmidt and F. Willot, Effect of crystallographic twins on the elasto-plastic response of polycrystals. (pdf). Proceedings of the 14th International Symposium on Continuum Models and Discrete Systems (in print).
• M. Neumann, P. Gräfensteiner, E. Machado Charry, U. Hirn, A. Hilger, I. Manke, R. Schennach, V. Schmidt and K. Zojer, R-vine copulas for data-driven quantification of descriptor relationships in porous materials. (pdf, pdf). Advanced Theory and Simulations (in print)
• M. Neumann, P. Gräfensteiner, C. Santos de Oliveira, J. Martins-Schalinski. S. Koppka, D. Enke, P. Huber and V. Schmidt, Morphology of nanoporous glass: Stochastic 3D modeling, stereology and the influence of pore width. (pdf). Physical Review Materials (in print)
• P. Rieder, M. Neumann, L. Monteiro Fernandes, A. Mulard, H. Proudhon, F. Willot and V. Schmidt, Stochastic 3D microstructure modeling of twinned polycrystals for investigating the mechanical behavior of TiAl intermetallics. (pdf). Computational Materials Science 238 (2024), 112922.
• A. Stoll, I.-L. Haußmann, G. Lohrmann, L. Petrich, V. Schmidt, N. Wittner, E. Aberle, C. Thiel, M. Terhaag, D. Mattheis and F. Martin, Entfernung von Schadpflanzen im Grünland mit Hochdruck-Wasserstrahlen. In: L. Ulber and D. Rissel (eds.), Tagungsband: 31. Deutsche Arbeitsbesprechung über Fragen der Unkrautbiologie und -bekämpfung; 27.–29. Februar 2024, Braunschweig, pp. 43–44.
• M. Weber, A. Grießer, D. Mosbach, E. Glatt, A. Wiegmann and V. Schmidt, Investigating microstructure-property relationships of nonwovens by model-based virtual materials testing. (pdf). Transport in Porous Media (in print)

 




Preprints

• P. Schaumann, M. Rempel, U. Blahak and V. Schmidt, Generating synthetic rainfall fields by R-vine copulas applied to seamless probabilistic predictions. (pdf). Preprint (submitted)
• F. Strube, T. Wilhelm, J. Sygusch, B.M. Guy, O. Furat, V. Schmidt and M. Rudolph, Investigating the influence of particle size and shape on froth-flotation-based beneficiation of lithium-rich minerals in slags. (pdf). Preprint (submitted)
• J. Sygusch, T. Wilhelm, O. Furat, K. Bachmann, V. Schmidt and M. Rudolph, Application of multivariate Tromp functions for evaluating the joint impact of particle size, shape and wettability on the separation of ultrafine particles via flotation. (pdf). Preprint (submitted)
• J. Sygusch, T. Wilhelm, O. Furat, V. Schmidt and M. Rudolph, Investigating the multidimensional separation behavior of particles in a cyclosizer setting - A case study on calcite, fluorite and magnesite. (pdf). Preprint (submitted)
• T. Wilhelm, T. Vo, O. Furat, U.A. Peuker and V. Schmidt. Virtual reassembling of 3D fragments for the data-driven analysis of fracture mechanisms in multi-component materials. (pdf). Preprint (submitted)

 




Working Papers

• M. Ademmer, T. Kirstein, V. Schmidt and M. Neumann, Parameter estimation for graph-based stochastic microstructure models by means of convolutional neural networks. Working paper (under preparation)
• L. Dodell, M. Neumann, M. Osenberg, A. Hilger, G. Studer, B. Esser, I. Manke and V. Schmidt, Statistical microstructure analysis of an X-PVMPT battery electrode based on 3D FIB-SEM measurements. Working paper (under preparation)
• N. Eiermann, O. Furat, J. Nicklas, U.A. Peuker and V. Schmidt, Quantitative characterization of hydrophobic agglomeration for different stirrer designs using a copula-based probabilistic modeling approach. Working paper (under preparation)
• N. Eiermann, A. Siddique, O. Furat, T. Leißner, U.A. Peuker and V. Schmidt, Super-resolution of 3D image data for the structural characterization of multi-component particles using generative adversarial networks and correlative microscopy. Working paper (under preparation).
• L. Fuchs, O. Furat, D.P. Finegan, J. Allen, F.L.E. Usseglio-Viretta, P.J. Weddle, K. Smith and V. Schmidt, Multi-scale modeling of radial-symmetric NMC particles, combining methods of spatial stochastics and GANs. Working paper (under preparation)
• O. Furat, R. Saxena, P. Gräfensteiner, M. Neumann, T. Carraro and V. Schmidt, Super-resolution of 3D image data enhanced by spatially resolved transport simulations. Working paper (under preparation)
• O. Furat, J. Schubert, A. Bielefeld, M. Luczak, A. Wiegmann, J. Janek and V. Schmidt, Generative adversarial framework for calibrating an excursion set model for the 3D microstructure of all-solid-state battery cathodes. Working paper (under preparation)
• P. Gräfensteiner, E. Löwer, O. Furat, U.A. Peuker and V. Schmidt, Artificial filter cake generation: Digital twins via stochastic 3D modeling based on micro-CT image data. Working paper (under preparation)
• P. Gräfensteiner, P. Leitl, E. Baikova, E. Machado Charry, U. Hirn, A. Hilger, I. Manke, R. Schennach, M. Neumann, V. Schmidt and K. Zojer, Investigating permeability relationships for calendered paper sheets based on simulated air flow on micro-CT data. Working paper (under preparation)
• P. Gräfensteiner, M. Osenberg, A. Hilger, N. Bohn, J. Binder, I. Manke, V. Schmidt and M. Neumann, Data-driven stochastic 3D modeling of the nanoporous binder-additive phase in battery electrodes. Working paper (under preparation)
• P. Gräfensteiner, A. Pamperin, M. Osenberg, R. Himstedt, M. Neumann, I. Manke, M. Kamlah, and V. Schmidt. Structure-property relationships for nickel-rich cathodes of lithium-ion batteries, using resistance network simulations based on micro-CT image data. Working paper (under preparation)
• S. Haviar, T. Kozác, B. Prifling, T. Košutová, V. Schmidt and J. Capek, Analysis and modeling of percolated conductive networks in nanoparticle-based thin films sputter-deposited by a magnetron-based aggregation source. Working paper (under preparation)
• T. Kirstein, O. Furat, L. Schwan, U. Bröckel and V. Schmidt, Stochastic modeling of time-dependent separation behavior of LiAlO_2 in selective agglomeration processes using CT and SEM-EDS imaging. Working paper (under preparation)
• T. Kirstein, C. Rachmawati, K. Bachmann, R. Ditscherlein, E. Löwer, O. Furat, U.A. Peuker and V. Schmidt, 3D characterization of artificial mineral particle systems with different size fractions using X-ray tomography in combination with SEM. Working paper (under preparation)
• L. Krumbein, B. Prifling, M. Neumann, T. Danner, V. Schmidt and A. Latz, Quantifying the impact of laser perforation on the electrochemical performance of cathodes in lithium-ion batteries. Working paper (under preparation)
• L. Monteiro~Fernandes, S. Blusseau, P. Rieder, M. Neumann, V. Schmidt, H. Proudhon, F. Willot, Self-supervised physics-informed surrogate model for elastic fields in polycrystals. Working paper (under preparation)
• M. Neumann, L. Schneider, M. Häringer, M. Osenberg, A. Hilger, I. Manke, W. Bauer, J.R. Binder and V. Schmidt, Quantifying the impact of calendering on the morphology of nano-structured NVP cathodes for sodium-ion batteries based on synchrotron tomography. Working paper (under preparation)
• L. Petrich, K. Derrien, V. Schmidt, R. Guinebretiere and O. Castelnau, Thermo-elastic micromechanical modelling of tetragonal ZrO2 with a herringbone microstructure inherited from the cubic phase. Working paper (under preparation)
• L. Petrich, R.P.R. Purohit, O. Castelnau, R. Guinebretiere and V. Schmidt, Quantitative analysis of thermal expansion in polycrystals through 3D reciprocal space mapping. Working paper (under preparation)
• J. Piruzjam, P. Gräfensteiner, M. Osenberg, L. Rubacek, M. Neumann, I. Manke, V. Schmidt, and T. Carraro. Microscopic and macroscopic modeling of polycrystalline cathode particles based on tomographic image data for lithium-ion batteries. Working paper (under preparation)
• M. Prasad, S. Hein, M. Neumann, B. Prifling, R. Scurtu, A. Hoffmann, A. Hilger, M. Osenberg, I. Manke, M. Wohlfahrt-Mehrens, V. Schmidt, T. Danner and A. Latz, Influence of passive material distribution and its structural properties on cathode performance. Working paper (under preparation)
• B. Prifling, L. Fuchs, A. Yessim, M. Osenberg, M. Paulisch-Rinke, P. Zimmer, M. Hager, U.S. Schubert, I. Manke, T. Carraro and V. Schmidt, Correlating the 3D morphology of polymer-based battery electrodes with effective transport properties. Working paper (under preparation)
• B. Prifling, A. Yessim, M. Osenberg, A. Hilger, P. Zimmer, M. Hager, U. S. Schubert, I. Manke, T. Carraro, and V. Schmidt, Stochastic 3D nanostructure model for quantifying the impact of electrode morphology in polymer-based batteries on diffusive charge transport. Working paper (under preparation)
• M. Rempel, P. Schaumann, U. Blahak and V. Schmidt, Analysis of synthetic rainfall fields generated by R-vine copulas for the seamless probabilistic forecasting of large-scale precipitation events. Working paper (under preparation)
• P. Rieder, O. Furat, F. Usseglio-Viretta, J. Allen, P. Weddle, D.P. Finegan, K. Smith and V. Schmidt, Stochastic 3D reconstruction of cracked polycrystalline NMC particles using 2D SEM data. Working paper (under preparation)
• S Weber, O. Furat, T. Kirstein, T. Leißner, U.A. Peuker and V. Schmidt, Stochastic surrogate model for separation processes to quantify the influence of particle size, shape and composition on separation behavior. Working paper (under preparation)
• S. Weber, B. Prifling , M. Wieler, N. Menzler and V. Schmidt, Statistical analysis of the microstructure of solid-oxide fuel cell anodes based on 3D FIB-SEM image data. Working paper (under preparation)
• T. Wilhelm, L. Petrich, O. Furat, J. Dake, C.E. Krill III and V. Schmidt, Continuous representation of voxelized image data for polycrystaline materials using 3D warped tessellations. Working paper (under preparation)
• T. Wilhelm, L. Petrich, O. Furat, J. Dake, C.E. Krill III and V. Schmidt, Reverse engineering the kinetics of grain growth with explainable machine learning. Working paper (under preparation)

 




Talks

• Image-based stochastic modeling of the 3D morphology of energy materials on various length scales (pdf).
• Stochastic Geometry: A toolbox for mathematical analysis, modeling and simulation of complex geometrical patterns on various length scales (pdf).
• Stochastic microstructure modeling of particle-based materials in 3D and 4D (pdf).