kanhaiya-gupta/pinn-research-platform
A comprehensive research platform for Physics-Informed Neural Networks (PINNs) featuring 10+ applications including forward/inverse problems, data assimilation, and scientific discovery with interactive web interface.
This platform helps researchers and scientists model complex physical systems by using data and scientific laws together. You provide known physical equations and observational data, and it generates predictions or uncovers hidden parameters for various scientific applications through an interactive web interface. It's designed for physicists, engineers, and researchers working with physics-informed machine learning.
Use this if you need to solve forward or inverse problems, perform data assimilation, quantify uncertainties, or discover new physical laws using Physics-Informed Neural Networks.
Not ideal if you are looking for a general-purpose machine learning framework without specific physics integration or if your problems don't involve differential equations.
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8
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Language
Python
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Last pushed
Feb 21, 2026
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