supercooled-liquids

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mandadapu-group / pyglasstools

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A Python module for performing data analysis of atomistic trajectories relevant for glasses and supercooled liquids.

data-analysis materials-science glasses molecular-dynamics-analysis supercooled-liquids irving-kirkwood

Updated Nov 7, 2021
C++

tomidiy / SoftnessML_api

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ML framework for predicting particle rearrangements in supercooled liquids and glasses using structure-based descriptors and SVM. Served as a FastAPI microservice with Docker deployment.

python docker machine-learning physics svm scikit-learn molecular-dynamics computational-physics materials-science numba spherical-harmonics soft-matter glass-transition fastapi supercooled-liquids

Updated Mar 1, 2026
Python

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supercooled-liquids

Here are 2 public repositories matching this topic...

mandadapu-group / pyglasstools

tomidiy / SoftnessML_api

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