Scheduled presentations:

• Universal Microstructure-Design for Target Elasticities by Inverse Neural Networks
  *B. Eidel (TU Freiberg), A. Neelakandan (TU Freiberg)
• Phase-field modeling of fracture in recycled aluminum alloys: Impact of scrap-induced particles on crack behavior
  *T. Schneider (TUD Dresden University of Technology), W. Mohammed (Max Planck Institute for Sustainable Material), D. Raabe (Max Planck Institute for Sustainable Material), M. Kästner (TUD Dresden University of Technology)
• Efficient Virtual Workflow for Optimizing the Indentation Resistance of Tool Steels Through Inverse Microstructure Design Using Compact Descriptors
  *Y. Nishizawa (Ruhr University Bochum), N. Miska (Ruhr University Bochum), D. Balzani (Ruhr University Bochum)
• Data-Driven Microstructure Optimization of High-Fe Secondary Aluminum Alloys via Phase-Field Fracture Simulation and Inverse Design
  W. Chen (The Technical University of Darmstadt), *B. Xu (The Technical University of Darmstadt)
• Trustworthy Deep Surrogates for Inverse Materials Design with Calibrated Uncertainty
  *H. Teh (Forschungszentrum Jülich), T. Iraki (Forschungszentrum Jülich), S. Sandfeld (Forschungszentrum Jülich)
• From Virtual Design to Experimental Synthesis: Comparative Analysis of Graph-Based and Generative Latent Representations for Inverse Structure-Process Linkages
  *M. Guru (Helmholtz-Zentrum Hereon), J. Bohlen (Helmholtz-Zentrum Hereon), R. Aydin (Helmholtz-Zentrum Hereon), N. Ben Khalifa (Helmholtz-Zentrum Hereon)