Scheduled presentations:

• Keynote Graph Neural Networks Motivated By PDE’s
  E. Haber*
• Physics-Informed Machine Learning for Proper Orthogonal Decomposition (POD) based Reduced-Order Modelling (ROM) of Parametric, Partial Differential Equations (PDEs)
  H. Dave*, L. Cotteleer, A. Parente
• Physics-Informed Neural Networks With Hard Constraints for Solid and Contact Mechanics
  T. Sahin*, M. von Danwitz, A. Popp
• Physics-Informed Neural Networks for Granular Flows Modelling
  Y. Cheny*, M. Delcey, S. Kiesgen de Richter, J. Keck
• Physics Informed Neural Networks for Gravity Currents Reconstruction from Limited Data
  M. Delcey*, Y. Cheny, S. Kiesgen De Richter