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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 2026-03-18T05:40:27Z
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spelling 2026-03-17T12:59:00.2265478 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 0 Springer Science and Business Media LLC 2057-3960 18 2 2026 2026-02-18 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 This work was funded by the National Natural Science Foundation of China (Grant Nos. 92473102, 52202045, 62004141), the Shenzhen Science and Technology Program (Grant No. JCYJ20240813175906008), the State Key Laboratory of Micro-nano Engineering Science (Grant No. MES202608), and the Open Fund of Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration (Wuhan University) (Grant No. EMPI2025007). 2026-03-17T12:59:00.2265478 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
container_volume 0
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
document_store_str 0
active_str 0
published_date 2026-02-18T05:38:42Z
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score 11.099917

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