Study on the thermal and mechanical properties of typical lunar soil minerals based on deep-learning potential molecular dynamics simulations

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Hong-Tao Xue, Zhen CHANG, Jin Wang, Yan Zhang, Cheng-Dan He, Fu-Ling Tang
DOI: 10.5281/zenodo.18408603
Cited by: 0

Abstract

we utilized the deep potential (DP) approach, aided by high-throughput first-principles calculations, to develop the typical lunar soil minerals interatomic potential specifically for MD simulations.

Fields of Study & Subjects

Machine Learning in Materials Science Planetary Science and Exploration High-pressure geophysics and materials

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026
Document type
Dataset