Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems

Amanda A. Howard, Mauro Perego, George E. Karniadakis +1

Operator learning for complex nonlinear systems is increasingly common in modeling multi-physics and multi-scale systems. However, training such high-dimensional operators requires…