MaterialsFramework
Published in Zenodo (CERN European Organization for Nuclear Research) • Jun 24, 2025
NobleIDNI6P57W93R27S44
Authors:,
Doğuhan Sarıtürk
Raymundo Arroyave
Abstract
A modular and extensible framework for deploying, benchmarking, and experimenting with state-of-the-art machine learning potentials in materials science.
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