Contributions in this session:

• Strategies for improving the performance of Physics-Informed Neural Networks for predicting flow fields in bioreactors
  V. Travnikova*, E. von Lieres, M. Behr
• Model reduction with latent variables for discretely filtered equations
  H. Rosenberger*, B. Sanderse
• Subspace-Distance-Enabled Active Learning for Non-Intrusive Reduced-Order Modeling of Parametric Fluid Flows
  H. Kapadia*, L. Feng, P. Benner
• Reduced order modeling with variational multiscale method for environmental flows
  S. Dave*, A. Korobenko
• A variational Bayesian non-linear reduced order modeling in fluid dynamics
  N. Akkari*, F. Casenave