Daniel Westhoff

Email address

daniel.westhoff(at)uni-ulm.de

Phone

+49 (0)731/50-23617

Fax

+49 (0)731/50-23649

Mailing address

 
  • Room no. E.62
    Helmholtzstr. 18
    D-89069 Ulm
 

Office hours

on appointment

Publications

  • 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. Advanced Functional Materials 25 (2015), 855–863.
  • S. Hein, J. Feinauer, D. Westhoff, I. Manke, V. Schmidt and A. Latz, Stochastic microstructure modelling and electrochemical simulation of lithium-ion cell anodes in 3D. Journal of Power Sources 336 (2016), 161-171.
  • L. Petrich, D. Westhoff, J. Feinauer, D. P. Finegan, S. R. Daemi, P. R. Shearing and V. Schmidt, Crack detection in lithium-ion cells using machine learning. Computational Materials Science 136 (2017), 297-305.
  • 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. Nature Communications 7 (2016), 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. Philosophical Magazine 96 (2016), 1926-1949.
  • 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. Modelling and Simulation in Materials Science and Engineering 21 (2013), 055004.
  • 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. Computational Materials Science 126 (2017), 453-467.
  • D. Westhoff, D. P. Finegan, P. R. Shearing and V. Schmidt, Algorithmic structural segmentation of defective particle systems: A lithium-ion battery study. Journal of Microscopy (in print).
  • 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. 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.
  • 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. Modelling and Simulation in Materials Science and Engineering 23 (2015), 045003.

Talks

  • Structural segmentation of defective particle systems, 12th European Congress for Stereology and Image Analysis, Kaiserslautern (2017).
  • Stochastic microstructure modeling of battery anodes for virtual materials testing, STOCHASTIKA, Kohútka (2017).
  • Stochastic microstructure modeling of battery anodes – from marked two-phase models to electrochemical fields. International Workshop on Applied Probability, Toronto (2016).
  • Parametric stochastic 3D model for the microstructure of anodes in lithium-ion power cells. ModVal, Lausanne (2016).
  • Stochastic modeling and predictive simulations for the microstructure of organic semiconductor films processed with different spin coating velocities. STOCHASTIKA, Kohútka (2015).
  • A hybrid approach to stochastic modeling of uncompressed graphite electrodes used in Li-ion batteries. 11th German Probability and Statistics Days, Ulm (2014).

Teaching (Exercise Sessions)

SemesterCourse
SS 2016Angewandte Stochastik I
WS 2015/16Angewandte Stochastik II
SS 2015Angewandte Stochastik I
WS 2014/15Angewandte Stochastik II
SS 2014Wirtschaftsstatistik