Scheduled presentations:

• A Deep Learning Approach to Forward and Inverse Problems in Topology Optimization via Rank Reduction Autoencoders
  *I. Ben-Yelun (Universidad Politécnica de Madrid), M. El Fallaki Idrissi (École nationale supérieure d'Arts et Métiers), J. Mounayer (École nationale supérieure d'Arts et Métiers), S. Rodríguez (École nationale supérieure d'Arts et Métiers), C. Ghnatios (University of North Florida), F. Chinesta (École nationale supérieure d'Arts et Métiers)
• Student Designing spinodoid architected materials by Bayesian optimization
  A. Raßloff (TUD Dresden University of Technology), P. Seibert (TUD Dresden University of Technology), K. Kalina (TUD Dresden University of Technology), M. Kästner (TUD Dresden University of Technology), *A. Otto (Dresden University of Technology)
• Student Vibroacoustic Plate Design Using Guided Diffusion
  *J. Schultz (TU Braunschweig), J. van Delden (University of Göttingen), C. Blech (TU Braunschweig), S. C. Langer (TU Braunschweig), T. Lüddecke (University of Göttingen)
• Parametrizing Design Variables with Neural Networks
  *L. Herrmann (Technical University of Munich), O. Sigmund (Technical University of Denmark), S. Kollmannsberger (Bauhaus-Universität Weimar)
• Student Structural Optimization of Lattice Structures Using Neural Networks for Geometry Representation
  *M. Kofler (TU Wien), S. Elgeti (TU Wien)
• Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes
  *R. Bostanabad (UC Irvine)