GNN-based physics solver for time-independent PDEs

no code implementations • 28 Mar 2023 • Rini Jasmine Gladstone, Helia Rahmani, Vishvas Suryakumar, Hadi Meidani, Marta D'Elia, Ahmad Zareei

Physics-based deep learning frameworks have shown to be effective in accurately modeling the dynamics of complex physical systems with generalization capability across problem inputs.

Learning time-dependent PDE solver using Message Passing Graph Neural Networks

no code implementations • 15 Apr 2022 • Pourya Pilva, Ahmad Zareei

One of the main challenges in solving time-dependent partial differential equations is to develop computationally efficient solvers that are accurate and stable.