Scheduled presentations:

• Multi-Objective Quantum Optimization for Data-Driven and Sustainable Materials Design
  *T. Plehn (German Aerospace Center), D. Barragan-Yani (German Aerospace Center), E. Breitbarth (German Aerospace Center), G. Requena (German Aerospace Center), D. Melching (German Aerospace Center)
• Data-Driven Surrogate Modeling of Elasticity and Yield Behavior in Spinodoid Architected Materials
  *A. Otto (Dresden University of Technology), F. Fritzen (University of Stuttgart), S. Keshav (University of Stuttgart), K. Kalina (Dresden University of Technology), M. Kästner (Dresden University of Technology)
• Trustworthy Deep Surrogates for Inverse Materials Design with Calibrated Uncertainty
  *H. Teh (Forschungszentrum Jülich), T. Iraki (Forschungszentrum Jülich), S. Sandfeld (Forschungszentrum Jülich)
• 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)
• Use-Inspired Data-Driven-Design of Multi-Material Systems: A Novel Framework and Applications to Metamaterials
  *H. Salahshoor (Duke University)
• Composite Bayesian Optimisation for Inverse Problems and Design of Materials and Structures
  *R. Cardoso Coelho (INEGI), F. Andrade Pires (FEUP)