Journal article 113 views
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 
,
Sheng Liu,
Wei Shen,
Gai Wu
,
Sheng Liu,
Wei Shen,
Gai Wu
npj Computational Materials
Swansea University Author:
Lijie Li
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1038/s41524-026-02007-y
Abstract
Multiscale investigation of thermal transport in β-Ga2O3-based heterointerfaces enabled by machine learning potential: cross-scale parameter
| Published in: | npj Computational Materials |
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| ISSN: | 2057-3960 |
| Published: |
Springer Science and Business Media LLC
2026
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71466 |
| College: |
Faculty of Science and Engineering |
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| Funders: |
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). |