Scheduled presentations:

• Acoustic scattering off a cylinder: surrogate modeling and inversion via physics-informed neural networks
  S. Razi, D. Amini, Y. Chen, A. Amirkhizi, A. Louhghalam, M. Tootkaboni*
• Graph Neural Networks for Stress Prediction in Structural Design
  J. Ribeiro*, B. Ribeiro, S. Tavares, F. Ahmed
• ViTO: Vision Transformer Operator
  O. Ovadia*, A. Kahana, P. Stinis, E. Turkel, D. Givoli, G. Karniadakis
• Semi-mechanistic Prediction of Residence Time and Mixing Dynamics using a Machine Learning-based Convection-Diffusion Model
  A. D, U. Patil, E. Olofsson, J. Hattel, R. Ramachandran*
• Neural Fields for Inversion Problems
  J. Torben*, A. Brostrøm
• Automotive motor rotor design synthesis using conditional Wasserstein Generative Adversarial Networks with gradient penalty and distortion penalty
  N. Kato*, K. Suzuki, Y. kondo, K. Suzuki, K. Yonekura