MindSpore Flow Introduction
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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.
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MindSpore AI Fluid Simulation Suite
Code repository address:
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:caption: Installation Deployment
mindflow_install
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:caption: Features
features/solve_pinns_by_mindflow
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:caption: Physics-driven
physics_driven/burgers1D
physics_driven/darcy2D
physics_driven/navier_stokes2D
physics_driven/poisson_geometry
physics_driven/taylor_green2D
physics_driven/navier_stokes_inverse
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:caption: Data-driven
data_driven/2D_steady
data_driven/burgers_FNO1D
data_driven/navier_stokes_FNO2D
data_driven/burgers_KNO1D
data_driven/navier_stokes_KNO2D
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:caption: Data Mechanism Fusion
data_mechanism_fusion/pde_net
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:caption: CFD-solver
cfd_solver/lax_tube
cfd_solver/sod_tube
cfd_solver/couette
cfd_solver/riemann2d
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:caption: API Reference
mindflow.cell
mindflow.cfd
mindflow.common
mindflow.data
mindflow.geometry
mindflow.loss
mindflow.operators
mindflow.pde
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:caption: Reference Document
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:caption: RELEASE NOTES
RELEASE