Scheduled presentations:

• Numerical Design of Engineering Components and their Production Processes
  *S. Elgeti (TU Wien / RWTH Aachen), J. Lee (TU Wien)
• Application of Graph Neural Networks to Predict Hydrogen Explosions in Congested Environments
  *G. Covoni (Imperial College London), V. Tagarielli (Imperial College London), F. Montomoli (Imperial College London), V. Bisio (Nuovo Pignone Tecnologie, Baker Hughes), S. Rossin (Nuovo Pignone Tecnologie, Baker Hughes), M. Ruggiero (Nuovo Pignone Tecnologie, Baker Hughes)
• Turbulent modeling from sparse measurements through a combination of data assimilation and Machine Learning
  *R. Villiers (ONERA DAAA), V. Mons (ONERA DAAA, Université Paris Saclay), D. Sipp (ONERA DAAA, Université Paris Saclay), E. Lamballais (Université de Poitiers, CNRS), M. Meldi (ENSAM Lille)
• Uncertainty-aware Transonic Flow Predictions with Bayesian Deep Learning
  *M. Anhichem (University of Liverpool), S. Timme (University of Liverpool), J. Castagna (UKRI-STFC Hartree Centre), A. Peace (Aircraft Research Association Ltd), M. Maina (Aircraft Research Association Ltd)
• Evaluating the Probability of Infection in a UK Hospice through CFD Data Driven AI
  *M. Elsarraj (The University of Manchester), Y. Mahmoudi (The University of Manchester), A. Keshmiri (The University of Manchester)
• Accurate extrapolations of formation energy from binary to ternary solid solution alloys using graph neural networks
  *M. Lupo Pasini (Oak Ridge National Laboratory), G. Samolyuk (Oak Ridge National Laboratory), J. Choi (Oak Ridge National Laboratory), Y. Yang (Oak Ridge National Laboratory)