haeriamin / Subspace-Graph-Physics
Subspace Graph Physics
☆11Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for Subspace-Graph-Physics
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆49Updated 6 months ago
- MeshGraphNets (MGN)☆60Updated last year
- Differentiable Material Point Method☆29Updated last year
- Rewrite deepmind/meshgraphnets into pytorch☆75Updated 2 years ago
- ☆18Updated 3 years ago
- ☆12Updated 2 months ago
- 3-D elastic material simulation with Taichi using the Material Point Method (MPM)☆36Updated 3 years ago
- Code repo for Fluid Graph Network☆22Updated 2 years ago
- Reimplementation of Learning Mesh-based Simulation With Graph Networks☆43Updated 3 years ago
- ☆14Updated last year
- An optimization tool for additive manufacturing using automatic differentiation☆54Updated 3 years ago
- A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynam…☆66Updated 3 years ago
- ☆48Updated 3 months ago
- A collection of CFD related resources for Taichi developers.☆107Updated 3 weeks ago
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆36Updated 11 months ago
- ☆21Updated last year
- Material Point Method with Nonlocal Granular Fluidity☆25Updated 2 years ago
- Graph Network Simulator☆138Updated 3 weeks ago
- ☆50Updated last year
- A minimal DEM simulation demo written in Taichi.☆25Updated 11 months ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆146Updated 2 years ago
- [ICML 2023] Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics☆101Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆37Updated 9 months ago
- ☆27Updated 2 years ago
- ☆107Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆58Updated 4 months ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆31Updated 4 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆22Updated 9 months ago
- Using deep reinforcement learning for refining meshes in computational fluid dynamics☆20Updated last year