混合失配模型预测金属/半导体界面热导

Translated title of the contribution: Mixed mismatch model predicted interfacial thermal conductance of metal/semiconductor interface

Zhi Cheng Zong, Dong Kai Pan, Shi Chen Deng, Xiao Wan, Li Na Yang, Deng Ke Ma, Nuo Yang*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

11 Citations (Scopus)

Abstract

The acoustic mismatch model and diffuse mismatch model are widely used to calculate interfacial thermal conductance. These two models are respectively based on the assumption of extremely smooth and rough interfaces. Owing to the great difference between the actual interface structure and the two hypotheses, the predictions of these two models deviate greatly from the actual interfacial thermal conductance. The recently proposed mixed mismatch model considers the effect of interface structure on the ratio of phonon specular transmission to diffuse scattering transmission, and the prediction accuracy is improved. However, this model requires molecular dynamics simulation to obtain phonon information at the interface. In this work, the mixed mismatch model is simplified by introducing the measured roughness value, and the influence of interface structure on the contact area is taken into account to achieve a simple, fast and accurate prediction of interface thermal conductance. Based on this model, the interfacial thermal conductances of metals (aluminum, copper, gold) and semiconductors (silicon, silicon carbide, gallium arsenide, gallium nitride) are calculated and predicted. The results of Al/Si interface are in good agreement with the experimental results. This model is helpful not only in understanding the mechanism of interface heat conduction, but also in comparing with the measurement results.

Translated title of the contributionMixed mismatch model predicted interfacial thermal conductance of metal/semiconductor interface
Original languageChinese (Traditional)
Article number034401
JournalWuli Xuebao/Acta Physica Sinica
Volume72
Issue number3
DOIs
Publication statusPublished - 5 Feb 2023

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