tumaer / JAXFLUIDS
Differentiable Fluid Dynamics Package
☆395Updated this week
Alternatives and similar repositories for JAXFLUIDS:
Users that are interested in JAXFLUIDS are comparing it to the libraries listed below
- Computational Fluid Dynamics in JAX☆821Updated 3 weeks ago
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆338Updated last month
- Additive manufacturing simulation with JAX.☆295Updated 7 months ago
- Differentiable Finite Element Method with JAX☆372Updated last week
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆219Updated last month
- ☆293Updated last month
- A flexible framework for solving PDEs with modern spectral methods.☆563Updated 3 weeks ago
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆241Updated 7 months ago
- Spectral Navier Stokes (and similar) solvers in Python☆318Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆384Updated 3 weeks ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆190Updated 2 years ago
- Curated list for ML in FM☆201Updated last month
- Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as …☆232Updated last week
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆149Updated 3 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆336Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆139Updated last week
- Physics-Informed Neural networks for Advanced modeling☆471Updated this week
- A curated list of repositories related to fluid dynamics.☆295Updated 6 months ago
- DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization☆255Updated last week
- Using graph network to solve PDEs☆382Updated last year
- High performance computational platform in Python for the spectral Galerkin method☆213Updated 4 months ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- Lecture material for machine learning applied to computational fluid mechanics☆375Updated 3 months ago
- Simple finite element assemblers☆561Updated 3 weeks ago
- ☆200Updated 3 years ago
- ☆436Updated 3 weeks ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆249Updated last year
- Hidden Fluid Mechanics☆322Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆150Updated last month
- A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows☆231Updated last week