Uniaxial stress tuning of interfacial thermal conductance in cubic BAs/4H-SiC heterostructures
Lei Zhang, Fei Tian, Ke Chen, Zhongbo Yan, Kun Cao

TL;DR
This study uses machine learning and molecular dynamics to show that applying uniaxial stress can significantly enhance interfacial thermal conductance in cubic BAs/4H-SiC heterostructures, aiding thermal management in power electronics.
Contribution
It introduces a machine learning interatomic potential to accurately study stress-dependent interfacial thermal conductance in BAs/SiC heterostructures, revealing how uniaxial stress improves heat transfer.
Findings
Interfacial thermal conductance increases with uniaxial stress.
B-C bonded interface has higher ITC than As-C bonded interface.
Proper bonding and stress can optimize thermal transport.
Abstract
Understanding interfacial thermal transport is essential for improving thermal management in high-speed power electronic devices, where the efficient removal of excess heat is a critical challenge. In this study, a machine learning interatomic potential with near first-principles accuracy was employed to investigate the interfacial thermal conductance (ITC) between [111]-oriented cubic boron arsenide (cBAs) and [0001]-oriented 4H silicon carbide (4H-SiC), as well as its dependence on uniaxial stress. Among all possible bonding configurations at the cBAs(111)/4H-SiC(0001) interface, the B-C bonded interface was identified as the most energetically favorable. Non-equilibrium molecular dynamics simulations revealed that, under ambient conditions (300 K and 0 GPa), the ITC of the B-C interface reaches 353 6 MW m K, and increases monotonically to 460 3 MW m…
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