Scheduled presentations:

• A Simple, Scalable Energy-based Differentiable FEM Framework
  *M. Pundir (ETH Zurich), F. Lorez (ETH Zurich), D. Kammer (ETH Zurich)
• Handling Multi-Point Constraints through Static Condensation via Global Automatic Differentiation
  *F. Lorez (ETH Zürich), M. Pundir (ETH Zürich), D. Kammer (ETH Zürich)
• Automatic Differentiation in High Performance Hydrodynamic Simulation
  *K. Korner (Lawrence Livermore National Laboratory), B. Talamini (Lawrence Livermore National Laboratory), J. Andrej (Lawrence Livermore National Laboratory), M. Tupek (Lawrence Livermore National Laboratory), T. Stitt (Lawrence Livermore National Laboratory), D. Tortorelli (Lawrence Livermore National Laboratory), R. Rieben (Lawrence Livermore National Laboratory), T. Kolev (Lawrence Livermore National Laboratory), J. Bramwell (Lawrence Livermore National Laboratory), D. White (Lawrence Livermore National Laboratory), J. Belof (Lawrence Livermore National Laboratory), W. Schill (Lawrence Livermore National Laboratory)
• JAX for Flexible Constitutive Modelling and its Integration into Finite Element Solvers
  A. Latyshev (University of Luxembourg), J. Dokken (Simula Research Laboratory), J. Bleyer (Université Gustave Eiffel), C. Maurini (Sorbonne Université), *J. Hale (University of Luxembourg)
• A Generalizable Data-Driven Turbulence Closure Framework for Separated Flows via Differentiable Physics
  *H. Kim (Purdue University), R. Maulik (Purdue University)
• NN-PGD: A Hybridisation of Finite Element Neural Networks and the Proper Generalised Decomposition
  *A. Daby-Seesaram (Institut Polytechnique de Paris, ENSTA), K. Skardova (INRIA), M. Genet (École polytechnique, IPP)