Scheduled presentations:

• Neural Semi Lagrangian solver for convection-diffusion PDEs
  *E. franck (INRIA), V. Michel Dansac (INRIA), L. Navoret (Unistra), V. Vigon (Unistra)
• The LS-ReCoNN Method: A Hybrid AI and Finite Element Approach for Transmission Problems
  *S. Baharlouei (University of the Basque Country (UPV/EHU)), J. Taylor (CUNEF Universidad), D. Pardo Zubiaur (University of the Basque Country (UPV/EHU))
• Physics Informed Neural Operators for Modelling Nonlinear Shear Waves
  *C. Campbell (University of Galway), B. Tripathi (University of Galway)
• Finite Cell-Based Physics-Informed Fourier Neural Operator for Nonlinear Elasticity in Complex Domains
  *Y. Xiao (Beijing Institute of Technology), S. Han (Beijing Institute of Technology), Q. Tian (Beijing Institute of Technology)
• Lifelong Physics-Informed Learning for Parametric Partial Differential Equations
  *A. Chandra (KTH Royal Institute of Technology), C. Rojas (KTH Royal Institute of Technology), L. Tjernberg (KTH Royal Institute of Technology)
• Structure-Preserving Data-Driven Finite Element Models for General Geometries
  *B. Shaffer (University of Pennsylvania), S. Koohy (University of Pennsylvania), B. Kinch (University of Pennsylvania), A. Hsieh (University of Pennsylvania), N. Trask (University of Pennsylvania)