MindSpore

Installation Deployment

  • MindSpore Flow Installation

Features

  • Solving PINNs Based on MindSpore Flow

Physics-driven

  • 1D Burgers
  • 2D stabilized Darcy Problem
  • 2D Cylinder Flow
  • 2D & 3D Poisson
  • Two-dimensional Taylor Green Vortex
  • Inverse Navier-Stokes Problem
  • Neural Representation Method for Boltzmann Equation
  • PINNs for Kovasznay Flow
  • Raynold-averaged Navier-Stokes
  • PINNs for Point Source Poisson

Data-driven

  • AI Industrial Flow Simulation Model (DongFang YuFeng)
  • FNO for 1D Burgers
  • FNO for 2D Navier-Stokes
  • KNO for 1D Burgers
  • KNO for 2D Navier-Stokes
  • Multi-timestep Complicated Flow Field Prediction with Transonic Airfoil under Data Driven Mode(with Two Kinds of Backbones: FNO2D and UNET2D)
  • Reduced order model for three-dimensional unsteady flow
  • FNO for 3D Navier-Stokes

Data Mechanism Fusion

  • PDE-Net for Convection-Diffusion Equation
  • PeRCNN for 2D burgers Equation
  • PeRCNN for 3D Reaction-Diffusion Equation

CFD-solver

  • 1D Lax Tube
  • 1D Sod Tube
  • 2D Couette Flow
  • 2D Riemann

API Reference

  • mindflow.cell
  • mindflow.cfd
  • mindflow.common
  • mindflow.data
  • mindflow.geometry
  • mindflow.loss
  • mindflow.operators
  • mindflow.pde

RELEASE NOTES

  • Release Notes
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