jjdcorke / MeshGraphNetsLinks
PHYS 449 course project. In this repository, we attempt replication of results of the Learning Mesh Based Simulations with Graph Networks. Specifically the airfoil and flag experiments.
☆11Updated 3 years ago
Alternatives and similar repositories for MeshGraphNets
Users that are interested in MeshGraphNets are comparing it to the libraries listed below
Sorting:
- ☆128Updated 2 years ago
- MeshGraphNets (MGN)☆71Updated 2 years ago
- Graph Network Simulator☆205Updated 2 months ago
- Learning Algebraic Multigrid Using Graph Neural Networks☆25Updated 5 years ago
- ☆23Updated 7 months ago
- Grounding Graph Network Simulators using Physical Sensor Observations☆12Updated 2 years ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆51Updated 2 years ago
- Rewrite deepmind/meshgraphnets into pytorch☆97Updated 3 years ago
- Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate☆54Updated 4 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆106Updated last year
- Transformers for modeling physical systems☆148Updated 2 years ago
- One-Shot Transfer Learning of PINNs☆11Updated 2 years ago
- Subspace Graph Physics☆15Updated last year
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆32Updated last month
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆171Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆147Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆68Updated last year
- JAX-DIPS is a differentiable interfacial PDE solver.☆49Updated last year
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆93Updated 2 weeks ago
- Turbulent flow network source code☆71Updated 10 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated last year
- Differentiable Physics-informed Graph Networks☆67Updated 5 years ago
- ☆69Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆42Updated 2 years ago
- ☆19Updated 4 years ago
- A multiphase multiphysics dataset and benchmarks for scientific machine learning☆43Updated this week
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Updated 3 years ago
- ☆17Updated 3 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆77Updated 10 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆41Updated 3 years ago