MindScience/MindFlow

• MindFlow
• • Introduction
  • Latest News 📰
  • Coming Soon 🚀
  • • CFD
    • Data Driven
    • Physics Driven
    • Physics Plus Data Driven
  • Installation
  • • Version Dependency
    • Install Dependency
    • Hardware
    • pip install (not support temporarily)
    • source code install
  • Community
  • • CO-CHAIR
    • Core Contributor 🧑‍🤝‍🧑
  • Contribution Guide
  • License

ENGLISH | 简体中文

MindFlow

• Introduction
• Latest News
• Installation
  • Dependency
  • Hardware
  • pip install
  • source code install
• Community
• Contribution Guide
• License

Introduction

Flow simulation aims to solve the fluid governing equation under a given boundary condition by numerical methods, so as to realize the flow analysis, prediction and control. It is widely used in engineering design in aerospace, ship manufacturing, energy and power industries. The numerical methods of traditional flow simulation, such as finite volume method and finite difference method, are mainly implemented by commercial software, requiring physical modeling, mesh generation, numerical dispersion, iterative solution and other steps. The simulation process is complex and the calculation cycle is long. AI has powerful learning fitting and natural parallel inference capabilities, which can improve the efficiency of the flow simulation.

MindSpore Flow is a flow simulation suite developed based on MindSpore. It supports AI flow simulation in industries such as aerospace, ship manufacturing, and energy and power. It aims to provide efficient and easy-to-use AI computing flow simulation software for industrial research engineers, university professors, and students.

Latest News 📰

• 🔥2022.09.02 Academician Guanghui Wu, Chief Scientist of COMAC, released the first industrial flow simulation model "DongFang.YuFeng" at WAIC2022 World Artificial Intelligence Conference. AI flow simulation assisted the aerodynamic simulation of domestic large aircraft. Page

Coming Soon 🚀

• Everything is coming soon, don't worry~

More Cases：👀

CFD

• Couetee flow
• 1d lax tube
• 2d riemann
• Sod tube

Data Driven

• N-S equation
• Burgers equation

Physics Driven

• Flow around a cylinder
• Burgers-pinns equation
• 2D Darcy flow
• poisson ring
• poisson pinns
• simple pde introduction

Physics Plus Data Driven

• PDENet

Installation

Version Dependency

Because MindFlow is dependent on MindSpore, please click MindSpot Download Page according to the corresponding relationship indicated in the following table. Download and install the corresponding whl package.

MindFlow	Branch	MindSpore	Python
0.1.0	master	>=2.0.0	>=3.7

Install Dependency

pip install -r requirements.txt

Hardware

Hardware	OS	Status
Ascend 910	Ubuntu-x86	✔️
	Ubuntu-aarch64	✔️
	EulerOS-aarch64	✔️
	CentOS-x86	✔️
	CentOS-aarch64	✔️
GPU CUDA 11.1	Ubuntu-x86	✔️

pip install (not support temporarily)

pip install mindflow_[gpu|ascend]

source code install

git clone https://gitee.com/mindspore/mindscience.git
cd {PATH}/mindscience/MindFlow

• Ascend backend

bash build.sh -e ascend -j8

• GPU backend

export CUDA_PATH={your_cuda_path}
bash build.sh -e gpu -j8

• Install whl package

cd {PATH}/mindscience/MindFLow/output
pip install mindflow_*.whl

Community

CO-CHAIR

Core Contributor 🧑‍🤝‍🧑

Contribution Guide

• Please click here to see how to contribute your code:Contribution Guide

License

Apache License 2.0