activity
20192026
most citedA finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains

38 citations · 42 across the 7 of their papers we have counts for

collaborators
Showing cs.CEShow all

1 paper · 1 filter

cs.CE2024★ 2 cited

Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs

Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani +3

We introduce a method that combines neural operators, physics-informed machine learning, and standard numerical methods for solving PDEs. The proposed approach extends each of the…