Contributions in this session:

• Keynote Machine Learning for Enhancing and Complementing CFD Simulations: Potentials and Limitations for Industrial Applications
  P. Bekemeyer*, S. Görtz, A. Krumbein, C. Grabe
• Learning Six Degree-of-Freedom Ship Motion in Random Seas with Multi-Fidelity Data
  K. Maki*, K. Marlantes, K. Silva
• Leveraging Differentiable Physics to Efficiently Learn Flow Past Arbitrary Geometries
  S. Brahmachary*, N. Thuerey
• Improvements for Uncertainty Estimation in Active Learning – Towards Automated Multifidelity Metamodels
  H. Pehlivan Solak*, J. Wackers, R. Pellegrini, A. Serani, M. Diez