Stars
Differentiable Finite Element Method with JAX
Real-time design of architectural structures with differentiable mechanics and neural networks [ICLR 2025]
Physics Informed Neural Network (PINN) for the wave equation.
A Computational Fluid Dynamics (CFD) course with Python
NURBS-Diff : A Differentiable NURBS Layer for Machine Learning CAD Applications
A C++ NURBS Algorithms Open Source Library, match the NURBS Book
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.
A large-scale benchmark for machine learning methods in fluid dynamics
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
[NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
NVIDIA cuOpt examples for decision optimization
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Codebase for finite element implementation of dynamic snap-through of hard-magnetic soft-viscoelastic bistable actuators.
Source Codes for Corotational Hinge-based Thin Plates/Shells
Stark is a C++ and Python simulation platform for the robust simulation of rigid and deformable objects in a strongly coupled manner.
High-fidelity modeling of granular media consisting of deformable complex-shaped particles
This repository contains shape memory bond codes for DEM simulations from Professor Yu Guo's Lab at Zhejiang University.
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
QuadriFlow: A Scalable and Robust Method for Quadrangulation
Code for 'Physics-Informed Neural Networks for Shell Structures'