Yalchin Efendiev

Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving

We propose GMsFEM-NO, a novel hybrid framework that combines the robustness of the Generalized Multiscale Finite Element Method (GMsFEM) with the computational speed of neural operators (NOs) to create an efficient method for solving heterogeneous partial differential equations (PDEs). GMsFEM build…