NSE

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

A library for scientific machine learning and physics-informed learning

SU2: An Open-Source Suite for Multiphysics Simulation and Design

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

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

A large-scale benchmark for machine learning methods in fluid dynamics

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Python model solving the shallow water equations (linear momentum, nonlinear continuity)

Stonefish - an advanced C++ simulation library designed for (but not limited to) marine robotics.

physics-informed neural network for elastodynamics problem