MindSpore Flow 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.

Code repository address: <https://gitee.com/mindspore/mindscience/tree/r0.6/MindFlow>

Installation Deployment

Features

Physics-driven

Data-driven

Data Mechanism Fusion

CFD-solver

API Reference

RELEASE NOTES