bitzhangcy/Neural-PDE-Solver resource

Health v2 · maintenance only

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1120 stars · 140 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated literature repository tracking research on solving partial differential equations with neural operators and related deep learning methods. It organizes papers into categories such as PINN, DeepONet, Fourier operators, graph networks, and benchmarks.

Use cases

• find papers on neural PDE solvers
• learn about physics-informed neural networks
• survey neural operator methods like DeepONet and FNO
• track recent research in scientific machine learning
• find benchmarks for neural PDE solving
• research inverse problems and inverse design with neural networks

When to choose

• you need a structured reading list on neural PDE solving
• you are starting research in scientific machine learning or neural operators
• you want to stay current on PINN and DeepONet literature

When to avoid

• you need runnable solver code or a software library
• you need classical numerical PDE solvers like FEM packages

Facets

learning-resource · maturity active

documentation machine-learning tutorials cross-platform awesome-list neural-operators pde-solver scientific-machine-learning pinn deeponet fourier-neural-operator paper-collection algorithms

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bitzhangcy/Neural-PDE-Solver")