Scheduled presentations:

• From Properties to Structure: Data-Driven Insights for Inverse Materials Design
  *M. Kästner (TU Dresden), A. Otto (TU Dresden), A. Raßloff (TU Dresden), M. Rosenkranz (TU Dresden), T. Schneider (TU Dresden)
• Uncertainty-Aware Inverse Design of Architected Spinodoid Materials via Bayesian Optimization and Inversion
  *M. Chiappetta (University of Pavia (Unipv)), M. Carraturo (University of Pavia (Unipv)), A. Raßloff (Technische Universität Dresden — TU Dresden), M. Kastner (Technische Universität Dresden — TU Dresden), F. Auricchio (University of Pavia (Unipv))
• Composite Bayesian Optimisation for Inverse Problems and Design of Materials and Structures
  *R. Cardoso Coelho (INEGI), F. Andrade Pires (FEUP)
• TextureFlow: Learning Crystallographic Texture via Normalizing Flow on SO(3) Manifold
  *G. Nimmal Haribabu (TU Delft), T. Ramgopal (TU Delft), S. Kumar (TU Delft)
• Data-Driven Quantification and Tessellation-Based Modeling of Anisotropy in Polycrystalline Alloys
  *L. Schröder (Ulm University), U. Aziz (Leuphana University Lüneburg), A. Safi (Helmholtz-Zentrum Hereon), L. Fuchs (Ulm University), U. Suhuddin (Helmholtz-Zentrum Hereon), B. Klusemann (Helmholtz-Zentrum Hereon), V. Schmidt (Ulm University)
• Ultra-efficient stochastic reconstruction of multiscale porous media using transdimensional generative networks
  *J. Chen (University of Science and Technology of China), H. Yu (University of Science and Technology of China)