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Published in 2025 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2415662122
Abstract: Significance In this work, we propose to represent chemical environments as vectorized objects which can be used as input for machine learning (ML) properties of atomistic systems. The proposed method efficiently captures the physics of…
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Keywords:
body distribution;
convolutional many;
many body;
distribution functional ... See more keywords