phyiscs-informed-machine-learning

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n8lujan99 / Nates-OSPM

Orbit Super Position Modeling Package based off of Dr. Karl Gebhardt's fortran code and the code used in https://iopscience-iop-org.libweb.lib.utsa.edu/article/10.3847/2041-8213/ae0b4f/meta

python julia physics physics-engine galaxies galaxy physics-simulation galaxy-project galaxy-formation galaxy-morphology utsa phyiscs-informed-machine-learning lujan

Updated May 29, 2026
Python

kimbente / mass_conservation_on_rails

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Reproducible code for "Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields" (accepted to NeurIPS25 CCAI workshop)

antarctica divergence mass-conservation phyiscs-informed-machine-learning

Updated Oct 9, 2025
Python

dhruv-decoder / ML_Physics_Engineered

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Developed an ML Algorithm for the given datasets using physics guided feature engineering (catalytic reaction domain) together with ensemble learning

machine-learning feature-engineering phyiscs-informed-machine-learning

Updated Aug 22, 2026
Jupyter Notebook

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