Contributions in this session:

• (Keynote) Deep Learning-based Reduced Order Modeling for Unsteady Flow and Fluid-Structure Interaction
  R. Jaiman*, R. Gao
• Assessment of Convolutional Recurrent Autoencoder Network for Learning Wave Propagation
  W. Mallik*, R. Jaiman, J. Jelovica
• Multi-scale rotation-equivariant graph neural networks for unsteady Eulerian fluid dynamics
  M. Lino, S. Fotiadis, A. Bharath, C. Cantwell*
• Data-driven spectral modeling for the (thermal) quasi-geostrophic equations
  S. Ephrati*, E. Luesink, P. Cifani, A. Franken, B. Geurts
• Graph Neural Networks to Learn Mesh-Based Fluid Simulations with Physical Symmetries
  M. Horie*, N. Mitsume