Scheduled presentations:

• Surrogate modeling of fluid–structure interaction using neural-network latent space representations
  *J. LABRO (Aix-Marseille University), D. Zarzoso (Aix-Marseille University), J. Jacob (Aix-Marseille University), J. Favier (Aix-Marseille University)
• Data-driven Identification of Cavitation Flow Stages Using CNN-Autoencoder-Based Spatiotemporal Representations
  *L. Jiang (Technical university of Munich), S. Schmidt (Technical university of Munich), N. Adams (Technical university of Munich)
• Scientific Machine Learning for wall-modelled lattice Boltzmann simulation
  *J. Li (University of Geneva), C. Coreixas (Beijing Normal - Hong Kong Baptist University), O. Malaspinas (University of Applied Sciences and Arts of We), J. Latt (University of Geneva)