透视通过机器学习潜力对β-Ga2O3/钻石异构体的界面热传递

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Zhanpeng Sun1,2, Dongliang Zhang3, Zijun Qi1,2

  • 1The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China.

ACS applied materials & interfaces
|June 4, 2024
PubMed
概括

氧化 (β-Ga2O3) 装置的低导热率可以通过与钻石散热器集成来改进. 这项研究研究了晶体定向和接口原子如何影响这些异构结构中的热边界电阻.

关键词:
表面间传热的过程.机器学习潜在的机器学习潜力分子动力学分子动力学热边界电阻的热极限电阻β-Ga2O3/钻石异构结构

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