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声学失配模型和漫散射失配模型被广泛应用于界面热导的计算, 两种模型分别建立在极端光滑和粗糙界面的假设基础上. 由于实际界面结构与两种假设的区别较大, 造成两种模型预测结果与实际界面热导偏差较大. 近期提出的混合失配模型考虑了界面结构对声子镜面透射和漫散射透射比例的影响, 预测的准确度有所提高. 但该模型需要通过分子动力学模拟获取界面声子信息较为复杂. 为此, 本文通过引入测量的粗糙度数值简化混合失配模型, 并增加考虑界面结构对接触面积的影响, 实现对界面热导简单快捷、准确地预测. 基于该模型, 计算预测了金属(铝、铜、金)和半导体(硅、碳化硅、砷化镓、氮化镓)的界面热导. 并将铝/硅界面的结果与实验测量结果对比, 数据吻合较好. 该模型不仅有助于界面导热机理的理解, 而且利于与测量结果对比.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.
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Keywords:
- interfacial thermal conductance /
- interfacial thermal resistance /
- metal/semiconductor interface /
- acoustic mismatch model /
- diffuse mismatch model
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图 3 AMM, DMM和MMM (粗糙度: 0.28, 1.38, 2.16 nm)三种模型计算界面声子透射率频谱对比 (a) Al/Si界面; (b) Al/SiC界面; (c) Al/GaAs界面; (d) Al/GaN界面
Fig. 3. Comparison of phonon transmittance spectra calculated by AMM, DMM and MMM (roughness: 0.28, 1.38, 2.16 nm): (a) Al/Si interface; (b) Al/SiC interface; (c) Al/GaAs interface; (d) Al/GaN interface.
图 4 界面接触系数S和粗糙度之间的关系, 其中ηmax为界面两侧材料的原子间经验势函数截止半径, 当界面粗糙度大于这个值时, 认为界面接触系数趋近于0, 对于Al/Si界面, 该值为4.7 nm
Fig. 4. Relationship between interface contact coefficient S and roughness, where ηmax is the cutoff radius of the interatomic empirical potential function of the materials on both sides of the interface. When the roughness of the interface is greater than this value, the interface contact coefficient is considered to approach 0, which is 4.7 nm for Al/Si interface.
图 5 AMM, DMM和MMM (粗糙度: 0.28, 1.38, 2.16 nm)预测界面热导随温度的变化 (a) Al/Si界面; (b) Al/SiC界面; (c) Al/GaAs界面; (d) Al/GaN界面; 实验值来源于Hopkins等[16]的测量
Fig. 5. Curves of interfacial thermal conductance predicted by AMM, DMM and MMM (roughness: 0.28, 0.53, 1.38 nm) models as a function of temperature: (a) Al/Si interface; (b) Al/SiC interface; (c) Al/GaAs interface; (d) Al/GaN interface. The experimental values were obtained from measurements made by Hopkins et al.[16]
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[1] Wei N, Zhou C, Li Z, Ou B, Zhao K, Yu P, Li S, Zhao J 2022 Mater. Today Commun. 30 103147
Google Scholar
[2] Cui Y, Li M, Hu Y 2020 J. Mater. Chem. C 8 10568
Google Scholar
[3] Deng S, Xiao C, Yuan J, Ma D, Li J, Yang N, He H 2019 Appl. Phys. Lett. 115 101603
Google Scholar
[4] Cahill D G, Braun P V, Chen G, Clarke D R, Fan S, Goodson K E, Keblinski P, King W P, Mahan G D, Majumdar A, Maris H J, Phillpot S R, Pop E, Shi L 2014 Appl. Phys. Rev. 1 011305
Google Scholar
[5] Peng X, Jiang P, Ouyang Y, Lu S, Ren W, Chen J 2021 Nanotechnology 33 035707
Google Scholar
[6] Monachon C, Weber L, Dames C 2016 Annu. Rev. Mater. Res. 46 433
Google Scholar
[7] Scott E A, Gaskins J T, King S W, Hopkins P E 2018 APL Mater. 6 058302
Google Scholar
[8] Yang L, Wan X, Ma D, Jiang Y, Yang N 2021 Phys. Rev. B 103 155305
Google Scholar
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[11] Rustam S, Schram M, Lu Z, Chaka A M, Rosenthal W S, Pfaendtner J 2022 ACS Appl. Mater. Interfaces 14 32590
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[12] Zhang P, Yuan P, Jiang X, Zhai S, Zeng J, Xian Y, Qin H, Yang D 2018 Small 14 1702769
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[13] Giri A, Hopkins P E 2020 Adv. Funct. Mater. 30 1903857
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[15] Duda J C, Hopkins P E 2012 Appl. Phys. Lett. 100 111602
Google Scholar
[16] Hopkins P E, Duda J C, Petz C W, Floro J A 2011 Phys. Rev. B 84 035438
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[17] Hopkins P E, Duda J C, Clark S P, Hains C P, Rotter T J, Phinney L M, Balakrishnan G 2011 Appl. Phys. Lett. 98 161913
Google Scholar
[18] Hopkins P E, Phinney L M, Serrano J R, Beechem T E 2010 Phys. Rev. B 82 085307
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[19] Lee E, Zhang T, Yoo T, Guo Z, Luo T 2016 ACS Appl. Mater. Interfaces 8 35505
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[20] Park W, Sood A, Park J, Asheghi M, Sinclair R, Goodson K E 2017 Nanoscale Microscale Thermophys. Eng. 21 134
Google Scholar
[21] Liang Y, Zhang B, Liu Z, Liu W 2021 Int. J. Heat Mass Transfer 174 121306
Google Scholar
[22] Xu Y, Kato R, Goto M 2010 J. Appl. Phys. 108 104317
Google Scholar
[23] Nylander A, Hansson J, Nilsson T, Ye L, Fu Y, Liu J 2021 ACS Appl. Mater. Interfaces 13 30992
Google Scholar
[24] Zhang Y, Ma D, Zang Y, Wang X, Yang N 2018 Front. Energy Res. 6 00048
Google Scholar
[25] Singh P, Seong M, Sinha S 2013 Appl. Phys. Lett. 102 181906
Google Scholar
[26] Hamaoui G, Horny N, Hua Z, Zhu T, Robillard J F, Fleming A, Ban H, Chirtoc M 2018 Sci. Rep. 8 11352
Google Scholar
[27] Giri A, Gaskins J T, Donovan B F, Szwejkowski C, Warzoha R J, Rodriguez M A, Ihlefeld J, Hopkins P E 2015 J. Appl. Phys. 117 105105
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[28] Chen J, Xu X, Zhou J, Li B 2022 Rev. Mod. Phys. 94 025002
Google Scholar
[29] Swartz E T, Pohl R O 1989 Rev. Mod. Phys. 61 605
Google Scholar
[30] Kazan M, Bruyant A, Royer P, Masri P 2010 Surf. Sci. Rep. 65 111
Google Scholar
[31] De Bellis L, Phelan P E, Prasher R S 2000 J. Thermophys. Heat Transfer 14 144
Google Scholar
[32] Ziman J M 1960 Electrons and Phonons: The Theory of Transport Phenomena in Solids (Oxford: Oxford University Press)
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Google Scholar
[34] Mei J, Davenport J W 1992 Phys. Rev. B 46 21
Google Scholar
[35] Foiles S M, Baskes M I, Daw M S 1986 Phys. Rev. B 33 7983
Google Scholar
[36] Johnson R A 1989 Phys. Rev. B 39 12554
Google Scholar
[37] Stillinger F H, Weber T A 1985 Phys. Rev. B 31 5262
Google Scholar
[38] Tersoff J 1988 Phys. Rev. B 38 9902
Google Scholar
[39] Kresse G, Furthmüller J 1996 Phys. Rev. B 54 11169
Google Scholar
[40] Togo A, Tanaka I 2015 Scr. Mater. 108 1
Google Scholar
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Google Scholar
[42] Farber D L, Krisch M, Antonangeli D, Beraud A, Badro J, Occelli F, Orlikowski D 2006 Phys. Rev. Lett. 96 115502
Google Scholar
[43] Trampenau J, Petry W, Herzig C 1993 Phys. Rev. B 47 3132
Google Scholar
[44] Dal Corso A 2013 J. Phys. Condens. Matter 25 145401
Google Scholar
[45] Koh Y R, Shi J, Wang B, Hu R, Ahmad H, Kerdsongpanya S, Milosevic E, Doolittle W A, Gall D, Tian Z, Graham S, Hopkins P E 2020 Phys. Rev. B 102 205304
Google Scholar
[46] Debernardi A, Alouani M, Dreyssé H 2001 Phys. Rev. B 63 064305
Google Scholar
[47] Serrano J, Manjón F J, Romero A H, Ivanov A, Cardona M, Lauck R, Bosak A, Krisch M 2010 Phys. Rev. B 81 174304
Google Scholar
[48] Ghosh K, Singisetti U 2016 Appl. Phys. Lett. 109 072102
Google Scholar
[49] Fritsch J, Pavone P, Schroder U 1995 Phys. Rev. B 52 11326
Google Scholar
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Google Scholar
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Google Scholar
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