ML4HPC / JAX-CFDLinks
machine learning-accelerated computational fluid dynamics
☆18Updated 3 years ago
Alternatives and similar repositories for JAX-CFD
Users that are interested in JAX-CFD are comparing it to the libraries listed below
Sorting:
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Immersed boundary - Fluid Structure Interaction solver with heat transfer☆11Updated 10 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- ☆61Updated 4 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 6 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Code repo for Fluid Graph Network☆25Updated 3 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆48Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- OpenFOAM implementation of turbulence models driven by machine learning predictions.☆39Updated last year
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- This repository contains code for data-driven LES of two-dimensional turbulence.☆11Updated 3 years ago
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆44Updated 2 years ago
- ☆31Updated 3 months ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Companion code for Data-Driven Resolvent Analysis☆19Updated 4 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆29Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆31Updated last year
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- CFD_Julia - Python and C++ Implementation☆33Updated 3 years ago
- Physics-informed neural networks for two-phase flow problems☆64Updated 3 months ago
- Numerical tool for Construction of Reduced-order models for fluid flows.☆30Updated 4 years ago
- Custom version of High-Fidelity Large-Eddy SImulation (HiFiLES) code (https://hifiles.stanford.edu/) by UF Theoretical Fluid Dynamics an…☆13Updated 3 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆61Updated 4 years ago
- SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.☆22Updated 4 years ago