airexlab/fastvpinns
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
This tool helps engineers and scientists solve complex physics problems described by partial differential equations (PDEs) more efficiently. You provide the PDE, geometry, and boundary conditions, and it outputs a numerical solution, helping you understand system behavior or design components faster. It's designed for researchers and practitioners in fields like computational fluid dynamics, structural mechanics, or heat transfer who need quick and accurate PDE solutions.
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Use this if you need to solve complex partial differential equations on intricate geometries faster than traditional methods, leveraging deep learning techniques.
Not ideal if you prefer traditional finite element methods or if your problems are simple enough that existing solvers are already sufficiently fast.
Stars
47
Forks
65
Language
Python
License
MIT
Category
Last pushed
Feb 02, 2025
Commits (30d)
0
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