Scheduled presentations:

• Geometric Features Based Machine Learning Modelling And Explainability Analysis Of Advanced Architected Materials
  D. Rodopoulos (New York University Abu Dhabi), G. Mermigkis (University of Patras), P. Hadjidoukas (University of Patras), *N. Karathanasopoulos (New York University)
• Bayesian-Guided Inverse Design of Hyperelastic Microstructures: Application to Stochastic Metamaterials
  *H. Danesh (Technische Universität Braunschweig), H. Wessels (Technische Universität Braunschweig)
• 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)
• Data Analysis of Architected Structural Geometries with Persistent Homology
  *A. Milor (Technische Universität Dresden), M. Salvalaglio (Technische Universität Dresden)
• Use-Inspired Data-Driven-Design of Multi-Material Systems: A Novel Framework and Applications to Metamaterials
  *H. Salahshoor (Duke University)
• Instabilities and Phase Transformations in Architected Metamaterials: a Gradient-Enhanced Continuum Approach
  *S. Joshi (Cornell University), M. Mousavi (Cornell University), C. Hamel (Sandia National Laboratories), R. Alberdi (Sandia National Laboratories), S. Gaitanaros (DTU), P. Purohit (University of Pennsylvania), N. Bouklas (Cornell University & Pasteur Labs)