Scheduled presentations:

• Super-Resolution of 4D-Flow MRI in the Left Ventricle Using Physics-Informed Neural Networks
  F. Shone (University of Leeds), N. Ravikumar (University of Leeds), M. MacRaild (University of Leeds), Z. Taylor (University of Leeds), *P. Jimack (University of Leeds), A. Frangi (University of Manchester), E. Dall'Armellina (University of Leeds)
• Physics-Informed Neural Networks for Engineering Problems: Challenges of the Application to 3D Stirred Tank Reactors
  *V. Travnikova (CATS RWTH Aachen University), E. von Lieres (FZ Jülich), M. Behr (CATS RWTH Aachen University)
• Automated Graph Coarsening: Shell Buckling
  *B. Ribeiro (Brown University & TU Delft), J. Ribeiro (MIT & FEUP), G. Broggi (TU Delft), P. Reis (EPFL), M. Bessa (Brown University)
• Physics-Informed Neural Networks For Bending Analysis Of Composite Plate: Solution Discovery And Parameter Identification
  *J. Torabi (Aalto Univaersity), J. Niiranen (Aalto University), A. Vaara (Technical Research Centre of Finland Ltd), T. Frondelius ( R&D and Engineering)
• Advances in the data-driven framework to accelerate the 2-Level topology optimisation in structural problems
  *A. Martínez-Martínez (Universitat Politècnica de València), O. Allix (ENS Paris-Saclay), F. Chinesta (ENS Arts et Métiers), J. Ródenas (Universitat Politècnica de València), E. Nadal (Universitat Politècnica de València)