pdes topic

Grid-based approximation of partial differential equations in Julia

gridap

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

FourierFlows

Python package for solving partial differential equations using finite differences.

zwicker-group

NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!

zachetienne

Start solving PDEs in Julia with Gridap.jl

gridap

Rensselaer's Optimistic Simulation System

ROSS-org

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

levimcclenny

Generative Pre-Trained Physics-Informed Neural Networks Implementation

skoohy

A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.

haranjackson

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

MHDFlows