shawnrosofsky/PINO_Applications
Applications of PINOs
This project helps scientists and engineers accurately predict the behavior of complex physical systems governed by partial differential equations (PDEs), such as wave propagation or fluid dynamics. It takes existing simulation data for various physical phenomena and outputs highly accurate predictions of system states, even for higher resolutions or scenarios not explicitly seen during initial training. Researchers and computational scientists who need to model complex physical systems with high fidelity would find this useful.
146 stars. No commits in the last 6 months.
Use this if you need to rapidly predict the evolution of physical systems governed by PDEs, leveraging existing simulation data to create models that incorporate fundamental physics.
Not ideal if your problem does not involve physical systems governed by well-defined partial differential equations or if precise shock location prediction is critical.
Stars
146
Forks
28
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 10, 2022
Commits (30d)
0
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