Scheduled presentations:

• Neural and spectral operator surrogates for Gaussian random field inputs
  C. Marcati, C. Schwab, J. Zech*
• Data-Driven Domain Decomposition: Predicting Responses in Diverse 3D Geometries using Neural Operator-Based Framework
  V. Kumar*, S. Goswami, G. Karniadakis
• Operator learning for systems with partially hidden physics
  V. Kag, B. Pal*, S. Goswami
• Multi-Resolution Learning of Partial Differential Equations with Deep Operators and Long Short-Term Memory Networks
  K. Michalowska*, S. Goswami, G. Karniadakis, S. Riemer-Sørensen
• Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks
  P. Sentz, E. Cyr*, K. Beckwith, L. Olson, R. Patel