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Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter

Zhanpeng Sun, Zijun Qi, Yunfei Song, Lijie Li Orcid Logo, Sheng Liu, Wei Shen, Gai Wu

npj Computational Materials

Swansea University Author: Lijie Li Orcid Logo

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DOI (Published version): 10.1038/s41524-026-02007-y

Published in: npj Computational Materials
ISSN: 2057-3960
Published: Springer Science and Business Media LLC 2026
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URI: https://cronfa.swan.ac.uk/Record/cronfa71466
first_indexed 2026-02-19T10:55:38Z
last_indexed 2026-02-20T06:47:20Z
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recordtype SURis
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spelling 2026-02-19T10:55:36.9580632 v2 71466 2026-02-19 Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter ed2c658b77679a28e4c1dcf95af06bd6 0000-0003-4630-7692 Lijie Li Lijie Li true false 2026-02-19 ACEM Journal Article npj Computational Materials Springer Science and Business Media LLC 2057-3960 18 2 2026 2026-02-18 10.1038/s41524-026-02007-y https://doi.org/10.1038/s41524-026-02007-y COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University Another institution paid the OA fee 2026-02-19T10:55:36.9580632 2026-02-19T10:53:05.7287149 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Zhanpeng Sun 1 Zijun Qi 2 Yunfei Song 3 Lijie Li 0000-0003-4630-7692 4 Sheng Liu 5 Wei Shen 6 Gai Wu 7
title Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
spellingShingle Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
Lijie Li
title_short Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
title_full Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
title_fullStr Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
title_full_unstemmed Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
title_sort Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
author_id_str_mv ed2c658b77679a28e4c1dcf95af06bd6
author_id_fullname_str_mv ed2c658b77679a28e4c1dcf95af06bd6_***_Lijie Li
author Lijie Li
author2 Zhanpeng Sun
Zijun Qi
Yunfei Song
Lijie Li
Sheng Liu
Wei Shen
Gai Wu
format Journal article
container_title npj Computational Materials
publishDate 2026
institution Swansea University
issn 2057-3960
doi_str_mv 10.1038/s41524-026-02007-y
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
url https://doi.org/10.1038/s41524-026-02007-y
document_store_str 0
active_str 0
published_date 2026-02-18T05:29:49Z
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score 11.098231

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