Physics-Informed-Neural-Network-for-Lid-Driven-Cavity-Flow

Library for building distributed, real-time collaborative web applications

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

Webots Robot Simulator

Physical Symbolic Optimization

A differentiable PDE solving framework for machine learning

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

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Distributed High-Performance Symbolic Regression in Julia

Physics-Informed Neural networks for Advanced modeling