Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators

1 code implementation • 31 May 2023 • Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas

We propose a novel machine learning framework for solving optimization problems governed by large-scale partial differential equations (PDEs) with high-dimensional random parameters.