ZichaoLong/PDE-Net
PDE-Net: Learning PDEs from Data
This helps scientists and engineers discover the underlying partial differential equations (PDEs) that govern observed phenomena. You provide time-series or spatial data from an experiment or simulation, and it outputs the mathematical PDE model that describes the data's behavior. This is ideal for researchers in physics, engineering, and other quantitative fields who need to derive governing equations from observations.
330 stars. No commits in the last 6 months.
Use this if you have observational data (like temperature changes over time or fluid flow patterns) and want to automatically find the mathematical equations that describe these dynamics.
Not ideal if you already know the governing PDEs and are looking to solve them, rather than discover them.
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Jun 26, 2021
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