Scheduled presentations:

• Towards Simulation Intelligence Testbeds: Enabling the industrial realisation of data-driven models and AI-first capabilities, and driving the evolution of computational engineering
  A. Lavin*, J. Marecki, J. Van de Meent
• Recent Advances in PINNs
  G. Karniadakis*
• Solving partial differential equations with neural network bases
  F. Dietrich*
• Learning of integration time steps of stiff ordinary differential equations
  U. Iben*
• Dynamic neural networks for mimetic scientific machine learning
  W. Schilders*, C. Datar, F. Dietrich
• Learning reduced-order models with Bayesian inference and Gaussian processes
  M. Guo*