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Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials through Active Learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kang, Kisung, Purcell, Thomas A. R., Carbogno, Christian, Scheffler, Matthias
Format:	Preprint
Published:	2024
Subjects:	Materials Science Machine Learning
Online Access:	Acceder al recurso
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