Scheduled presentations:

• Surrogate Models for CFD Simulations Based on Convolutional Neural Networks
  M. Eichinger (University of Cologne), V. Grimm (University of Cologne), *A. Heinlein (Delft University of Technology), A. Klawonn (University of Cologne)
• Reinforcement Learning For Spline-Based Shape Optimization Of Flow Channels In Profile Extrusion Dies
  *S. Elgeti (TU Wien), D. Wolff (RWTH Aachen University), C. Fricke (TU Wien), M. Kemmerling (RWTH Aachen University)
• Verification of Visualization Method Using Self-Organizing Map for Various Flow Fields
  *Y. Tamura (Toyo University), M. Masuda (Toyo University)
• Generic high-performance coupling of massively parallel CFD solver to neural network inferences
  *A. Serhani (CERFACS), C. Lapeyre (CERFACS), G. Staffelbach (CERFACS)
• Student Machine Learning Method for Surrogate Substitution of Obstacles in CFD Simulations
  *A. Pérez (Barcelona Supercomputing Center), G. Houzeaux (Barcelona Supercomputing Center), C. Samaniego (Barcelona Supercomputing Center), A. Lektauers (Riga Technical Universit), I. Andersone (Riga Technical Universit), J. Calafell (Barcelona Supercomputing Center)