Scheduled presentations:

• Topology Optimization of Machine Components out of Hybrid Porous Materials Using Thermodynamic Topology Optimization
  *J. Pravda (Leibniz University Hannover), D. Jantos (Leibniz University Hannover), P. Junker (Leibniz University Hannover)
• Deep-Learning-Assisted Optimization of Composite Spinodoids for Enhanced Elastic and Thermal Behavior
  S. Yildiz (Virginia Tech), Z. Eger (Virginia Tech), *P. Acar (Virginia Tech)
• Data-Driven Design of Isotropic and High-Stiffness TPMS-based Aperiodicity-Induced Architected Materials
  *M. Park (KAIST), J. Jo (KAIST), S. Ryu (KAIST)
• On the Feasibility of Physics-Informed and Data-Driven Surrogates for Non-Equilibrium Thermal Responses in Binary Gas Mixtures
  *D. Madjarević (Faculty of Technical Sciences Novi Sad)
• Numerical Implementation of a Discrete-Based Model for Bi-Modulus (Meta)Materials
  *A. Morozov (Technische Universität Berlin), V. Balobanov (VTT Technical Research Centre of Finland), G. Lavrenteva (Independent Researcher), S. Khakalo (Aalto University,)
• Field-Driven AI Inverse Design of Multifunctional Shell-Based Metamaterials
  *P. Secchi (Imperial College London), D. Balint (Imperial College London), M. Maurizi (Italian Institute of Artificial Intelligence)