Scheduled presentations:

• Keynote Equivariant neural networks with applications to constitutive modeling
  K. Garanger (University of California, Irvine), *J. Rimoli (University of California, Irvine)
• Identification of Non-Smooth Differential Equations Using Artificial Intelligence Methods
  *M. Adiouane (Framatome), C. Pozzolini (Framatome), C. Grenat (Framatome)
• Physics-guided and Mechanism-inspired AI for Computational Engineering
  *S. Lee (Chung-Ang University)
• A neural network framework for thermoviscoplasticity
  *R. Jones (Sandia National Laboratories), J. Fuhg (University of Texas at Austin), T. Seidl (Sandia National Laboratories)
• A physics-informed neural network with built-in conservation laws for mechanical super-resolution
  *R. Dingreville (Sandia National Laboratories), V. Oommen (Brown University), A. Robertson (Sandia National Laboratories), D. Diaz (Carnegie Mellon University), C. Alleman (Sandia National Laboratories), Z. Zhang (Brown University), A. Rollett (Carnegie Mellon University), G. Karniadakis (Brown University)