Neural PDE solvers literature review
Top 38.3% on sourcepulse
This repository serves as a curated collection of literature on solving Partial Differential Equations (PDEs) using Neural Operators. It aims to systematically track and organize recent research progress in this interdisciplinary field, benefiting researchers, engineers, and practitioners working with complex scientific simulations.
How It Works
The repository organizes papers into categories such as Survey, Model, Mechanism, and Applications. It covers a wide range of neural operator architectures and techniques, including PINNs, DeepONets, Fourier Operators, and Graph Networks, alongside their applications in various scientific domains. The goal is to provide a comprehensive overview of the state-of-the-art in neural PDE solvers.
Quick Start & Requirements
This is a literature repository, not a software package. No installation or execution is required.
Highlighted Details
Maintenance & Community
The repository is maintained by Chunyang Zhang, who is actively seeking collaborators. Interested individuals are encouraged to contribute via Pull Requests, Issues, or direct email contact (bitzhangcy@gmail.com).
Licensing & Compatibility
Not applicable, as this is a literature repository.
Limitations & Caveats
As a curated list of papers, this repository does not provide executable code or benchmarks. Its utility is limited to literature review and research tracking.
5 days ago
1+ week