Tuning Cu/Diamond Interfacial Thermal Conductance via Nitrogen-Termination Engineering
Guang Yang, Xinling Tang, Zhongkang Lin, Yulin Gu, Wei Hao, Yujie Du, Xiaoguang Wei

TL;DR
This paper introduces a nitrogen-termination strategy to enhance the interfacial thermal conductance of Cu/diamond interfaces, utilizing machine learning-driven simulations to reveal atomistic mechanisms and improve heat transfer efficiency.
Contribution
The study develops a machine learning-based approach to engineer nitrogen-terminated diamond surfaces, significantly increasing interfacial thermal conductance and providing insights into phonon transport mechanisms.
Findings
N-termination increases ITC by 21% compared to bare interface.
High-frequency LA phonons are selectively modulated by N-termination.
N-termination tunes heat conduction via surface mass and bonding modifications.
Abstract
Cu-diamond composites are recognized as promising high-thermal-conductivity candidates for electronic cooling, offering tunable properties and competitive cost. However, their performance is significantly limited by the poor Cu/diamond interfacial thermal conductance (ITC). Here, we propose a nitrogen-termination strategy to tune the ITC of Cu/diamond interfaces and unravel atomistic mechanisms by which nitride interlayers tailor phonon transport. Based on the MACE machine-learning interatomic potential (MLIP) framework, we fine-tune the pre-trained MACE-MPA-0 foundation model by incorporating customized C-N-Cu training datasets. Through MLIP-driven lattice dynamics simulations, we demonstrate that an atomically flat N-termination on diamond enhances the ITC by 21% compared to the bare Cu/diamond interface. Mode-resolved phonon spectroscopy reveals that the LA phonons with frequency…
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Taxonomy
TopicsThermal properties of materials · Aluminum Alloys Composites Properties · Advanced ceramic materials synthesis
