Popular GitHub Repositories for Cfd

Computational Fluid Dynamics in JAX

Differentiable Fluid Dynamics Package

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

Additive manufacturing simulation with JAX.

compressing physics with neural networks

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Using OpenFOAM with SmartSim. This example implements a streaming version of the TensorFlowFOAM work

Fast, minimally-invasive neural network inference library

The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. In this repository, we will walk through the process of generating a 2D flow simulation for the Lid Driven Cavity (LDC) flow using Nvidia Modulus framework.

A benchmark library for DRL-based flow control

CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms

Converting ML-CFD models to ONNX

SYNTHRON CFD Trader PRO is a cutting-edge trading platform featuring raw, custom-designed machine learning models. From reinforcement learning for dynamic strategies to predictive analytics, sentiment analysis, and optimization techniques, it empowers trading across stocks, forex, indices, commodities, futures, and crypto with precision.

Fluid flow simulator using MFEM and multiscale space-time sub-domains.

如何在AWS ParallelCluster上通过Singularity容器运行OpenFOAM的示例

Deep learning surrogate for fast 2-D pressure Poisson solves using physics-informed training on synthetic CFD data.

adoptive weights Physics-Informed Neural networks for solving 3D turbulent flow in steady-state condition. flow over a big cities in Japan.

Solve the 2D lid-driven cavity flow problem with a GPU-accelerated Chorin projection scheme. Validate results using structured mesh-based methods. ??

An RL agent that finds an optimal policy of cleaning dirt off a floor with a power washer.

《物理学应用》探索物理原理在工程、医学和环境科学等各个领域的实际应用。本项目旨在阐明物理学基本概念如何推动创新和解决实际问题。