NVIDIA-Omniverse-blueprints / digital-twins-for-fluid-simulationLinks
☆72Updated 6 months ago
Alternatives and similar repositories for digital-twins-for-fluid-simulation
Users that are interested in digital-twins-for-fluid-simulation are comparing it to the libraries listed below
Sorting:
- Library for using the models trained in PhysicsNeMo in Engineering and CFD workflows☆62Updated last week
- ☆181Updated last month
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆302Updated last month
- Foundation Model for Physics Simulations☆110Updated 6 months ago
- A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks☆455Updated last month
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆428Updated this week
- ☆209Updated last month
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆90Updated 5 months ago
- Official repository of the PICT Solver☆42Updated 2 months ago
- A lightweight framework for building Physics-Informed Neural Networks (PINNs) with symbolic PDE definitions using SymPy and automatic dif…☆68Updated 3 months ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆59Updated last year
- MeshGraphNets (MGN)☆70Updated 2 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆106Updated last year
- Graph Network Simulator☆196Updated 2 months ago
- ☆56Updated 8 months ago
- OpenFOAM Foundation repository for OpenFOAM version 13☆54Updated last week
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆35Updated last year
- This repo lets you train GNN (MeshGraphNet, transformers, etc) to simulate physics on unstructured grids like meshes.☆30Updated this week
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆273Updated 3 weeks ago
- Playing around with Phyiscs-Informed Neural Networks☆100Updated 6 months ago
- Code for the paper Universal Physics Transformers☆149Updated 6 months ago
- A helical heat exchanger built on the LEAP 71 Shape Kernel and PicoGK☆40Updated 5 months ago
- This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advectio…☆190Updated 9 months ago
- A compact, high-performance finite element analysis engine built on JAX.☆62Updated last week
- Omniverse Kit sample for CAE use-cases☆25Updated last month
- query based meshing on top of GMSH☆27Updated 2 months ago
- Collection of samples to help developers build their own IoT solution for Omniverse☆75Updated last year
- Neural SPH☆39Updated last month
- JAX-DIPS is a differentiable interfacial PDE solver.☆49Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago