Neural-PDE-Solver  by bitzhangcy

Neural PDE solvers literature review

created 2 years ago
986 stars

Top 38.3% on sourcepulse

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Project Summary

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

  • Extensive categorization of research papers covering various neural operator models and their applications.
  • Includes foundational survey papers and recent advancements in neural PDE solving.
  • Covers a broad spectrum of scientific domains where neural operators are applied.
  • Provides a structured overview of techniques like PINNs, DeepONets, Fourier Operators, and Graph Networks.

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.

Health Check
Last commit

5 days ago

Responsiveness

1+ week

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Star History
72 stars in the last 90 days

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