Scheduled presentations:

• On the Identification of Best Fitting Probability Density Functions for Fiber Orientation in Paper Network Modelling
  G. Kloppenburg (Computational Applied Mechanics), X. Li (Computational Applied Mechanics), A. Dinkelmann (Competence Center Staple Fibers), H. Finckh (Competence Center Staple Fibers), *J. Neumann (Computational Applied Mechanics), J. Simon (Computational Applied Mechanics)
• Multi-phase-field Modeling and Development of High-performance Computing Scheme for Realistic Prediction of Sintered Microstructures
  *A. Nakazawa (Kyoto Institute of Technology), S. Sakane (Kyoto Institute of Technology), T. Takaki (Kyoto Institute of Technology)
• Harnessing Generative AI for Modelling Mesoporous Materials: An Aerogel Use Case
  *P. Pandit (German Aerospace Center), S. Kanagasenthinathan (German Aerospace Center), A. Rege (German Aerospace Center)
• Modeling Fiber Orientation in Microstructures Using Statistical Information From Paper Samples
  *J. Pfeifer (University of Wuppertal), G. Kloppenburg (University of Wuppertal), S. Kochersperger (Technical University of Darmstadt), S. Schabel (Technical University of Darmstadt), I. Kirsten (German Institutes of Textile + Fiber Research), A. Dinkelmann (German Institutes of Textile + Fiber Research), H. Finckh (German Institutes of Textile + Fiber Research), J. Neumann (University of Wuppertal), J. Simon (University of Wuppertal)
• Generation of representative volume elements from grain boundary networks in MCRp
  *A. Safi (Helmholtz Zentrum Hereon), P. Seibert (TU Dresden), T. Schwartz (Helmholtz Zentrum Hereon), M. Kästner (TU Dresden), B. Klusemann (Helmholtz Zentrum Hereon)
• Realistic RVEs by microstructure reconstruction: quasi-Newton optimization vs. sequential gradient projection
  *P. Seibert (Dresden University of Technology), A. Raßloff (Dresden University of Technology), K. Kalina (Dresden University of Technology), M. Kästner (Dresden University of Technology)