Scheduled presentations:

• Enabling Uncertainty Quantification in Seismic Images Employing Generative Variational Autoencoders
  C. Barbosa (Federal University of Rio de Janeiro), R. Freitas (Queen Mary University of London), C. Silva (Federal University of Rio de Janeiro), B. Silva (Federal University of Rio de Janeiro), *F. Rochinha (Federal University of Rio de Janeiro), A. Coutinho (Federal University of Rio de Janeiro)
• Student Learning Biases in Plasticity Modelling
  *M. M Iparraguirre (University of Zaragoza), I. Alfaro (University of Zaragoza), D. Gonzalez (University of Zaragoza), F. Chinesta (ENSAM Institute of Technology), E. Cueto (University of Zaragoza)
• A Study on the Possibility of Developing Foundational Models for the Simulation of Physical Phenomena
  *A. Tierz (Universidad de Zaragoza), M. Martinez Iparraguirre (Universidad de Zaragoza), I. Alfaro (Universidad de Zaragoza), D. Gonzalez (Universidad de Zaragoza), F. Chinesta (ENSAM Paris), E. Cueto (Universidad de Zaragoza)
• General framework to apply the CLN method to any magnetoquasistatic potential formulations
  *W. Chen (L2EP), *T. Henneron (L2EP), *S. Clénet (L2EP)
• Machine Learning Approaches to Support Design for Crashworthiness
  *F. Duddeck (Technical University of Munich)
• Inverse Estimation of the Centerline Boundary Conditions in Confined Planar Mixing Layers
  M. Ferreira (Universidade Federal Fluminense), J. Assis (Universidade Federal Fluminense), V. Egger (Universidade Federal Fluminense), *M. Grave (Universidade Federal Fluminense), C. Pacheco (Universidade Federal Fluminense), L. Alves (Universidade Federal Fluminense)