Search Results for author: Ghazal Farhani

Found 2 papers, 1 papers with code

Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations

1 code implementation2 May 2024 Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling

Specifically, we first show that under certain conditions, the residual loss of PINNs can be globally minimized by a wide neural network.

Momentum Diminishes the Effect of Spectral Bias in Physics-Informed Neural Networks

no code implementations29 Jun 2022 Ghazal Farhani, Alexander Kazachek, Boyu Wang

Physics-informed neural network (PINN) algorithms have shown promising results in solving a wide range of problems involving partial differential equations (PDEs).

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