Atomic-scale order enables high thermal boundary conductance at $\beta$-Ga$_2$O$_3$/4H-SiC interfaces
Hongao Yang, Yongtao Yang, Yuanbin Liu, Tao Ding, Yang Shen, Jiawei Huang, Weigang Ma, Linfeng Fei, Zhenping Wu, G\'abor Cs\'anyi, Bingyang Cao

TL;DR
This study demonstrates that atomic-scale order at $eta$-Ga$_2$O$_3$/4H-SiC interfaces significantly enhances thermal boundary conductance by preserving phonon coherence, with experimental validation of record-high heat transfer.
Contribution
We develop a computational framework combining machine learning and lattice dynamics to reveal how interfacial order influences phonon transport and thermal conductance.
Findings
Disorder introduces interfacial phonon modes that aid impedance matching.
Atomic-scale order preserves phonon coherence and increases conductance.
Experimental measurements confirm a record-high TBC of 231 MW/m$^2$K at sharp interfaces.
Abstract
Thermal boundary conductance (TBC) at dissimilar interfaces imposes a fundamental limit on electronic device performance, yet predicting and understanding heat transport across realistic, disordered boundaries remains elusive. Here, we develop a computational framework that combines machine-learned interatomic potentials with lattice dynamics to address the long-standing problem of how interfacial structure, from disordered to atomically sharp, affects thermal transport in the technologically important -GaO/4H-SiC heterostructure. By explicitly accounting for phonon wave-particle duality, we show that interfacial disorder introduces additional interfacial phonon modes that facilitate vibrational impedance matching between the two highly dissimilar crystals, yet it simultaneously disrupts interfacial phonon coherence and limits the potential heat-transport benefit. Our…
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