Scheduled presentations:

• Thermal Monitoring in Electric Machines using Physics-informed Neural Networks
  H. Sauerland*, S. Sreekumar
• Reduced Order Modelling in CFD: Geometry, Turbulence and Compressibility enhanced by Scinetific Machine Learning
  G. Rozza*
• Domain decomposition for neural networks
  A. Heinlein*
• An Operator Learning Framework for Mesh-Free Spatiotemporal Super-resolution
  V. Duruisseaux, A. Chakraborty*
• Scientific Machine Learning for Closure Models of Multiscale Problems - a Differentiable Physics Approach
  B. Sanderse*, S. Agdestein, T. van Gastelen
• Data-driven identification of low-dimensional port-Hamiltonian Systems
  J. Fehr*, J. Rettberg, J. Herb, J. Kneifl, P. Buchfink, B. Haasdonk