Scheduled presentations:

• Thermal Monitoring in Electric Machines using Physics-informed Neural Networks
  *H. Sauerland (Hitachi Europe GmbH), S. Sreekumar (Hitachi Europe GmbH)
• Reduced Order Modelling in CFD: Geometry, Turbulence and Compressibility enhanced by Scientific Machine Learning
  *G. Rozza (SISSA, Int. School for Advanced Studies, Trie)
• Domain decomposition for neural networks
  *A. Heinlein (Delft University of Technology)
• An Operator Learning Framework for Mesh-Free Spatiotemporal Super-resolution
  V. Duruisseaux (CalTech), *A. Chakraborty (Siemens)
• Scientific Machine Learning for Closure Models of Multiscale Problems - a Differentiable Physics Approach
  *B. Sanderse (CWI), S. Agdestein (CWI), T. van Gastelen (CWI)
• Data-driven identification of low-dimensional port-Hamiltonian Systems
  *J. Fehr (University of Stuttgart, ITM), J. Rettberg (University of Stuttgart, ITM), J. Herb (University of Stuttgart), J. Kneifl (University of Stuttgart, ITM), P. Buchfink (University of Stuttgart, IANS), B. Haasdonk (University of Stuttgart, IANS)