Physics-aware machine learning study for event classification in high-energy physics.
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Feb 13, 2026 - Jupyter Notebook
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physics-ml
Here are 4 public repositories matching this topic...
This repository contains Jupyter notebooks from my learning journey with Physics-Informed Neural Networks (PINNs). These are not complete projects but serve as educational resources to explore core and intermediate concepts in applying neural networks to solve partial differential equations (PDEs).
simulation tensorflow pytorch computational-physics partial-differential-equations fem differential-equations heat-transfer physics-simulation inverse-problems numerical-analysis scientific-machine-learning pinns physics-informed-neural-networks data-driven-modeling pde-solving ode-solving physics-ml
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Jun 7, 2025 - Jupyter Notebook
FNO-RC: Fourier Neural Operator with Conformal Residual Coupling for PDEs
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Oct 15, 2025 - Python
This repository contains a lightweight CNN-based approach for top-quark jet classification, using data from CERN’s public Zenodo dataset.
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Jan 21, 2026 - MATLAB
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