Scheduled presentations:

• Data-driven Modeling of Multi-physics Coastal Hydrodynamics using a Deep Neural Operator Framework
  *S. Dutta (University of Texas at Austin), P. Rivera-Casillas (USACE Engineer Research Development Center), M. Loveland (USACE Engineer Research Development Center), J. Lee (University of Hawai'i at Manoa), M. Farthing (USACE Engineer Research and Development Cente), C. Dawson (University of Texas at Austin)
• Transfer learning for inversion of multi-fidelity data in subsurface hydrology
  *A. Chiofalo (University of Bologna), V. Ciriello (University of Bologna), D. Tartakovsky (Stanford University)
• Multifidelity scientific machine learning
  A. Howard (Pacific Northwest National Laboratory), W. Chen (Pacific Northwest National Laboratory), S. Ahmed (Pacific Northwest National Laboratory), *P. Stinis (Pacific Northwest National Laboratory)
• Machine Learning-Aided Extended Drag-Based Model to Improve the Estimate of CMEs’ Travel Time
  *M. Rossi (University of Genoa), S. Guastavino (University of Genoa)