纳米线
声子
热导率
热电效应
材料科学
凝聚态物理
最大值和最小值
能量最小化
恒温器
分子动力学
芯(光纤)
声子散射
能源景观
散射
纳米技术
化学物理
热力学
物理
化学
光学
计算化学
复合材料
数学分析
数学
作者
Alireza Seifi,Mahyar Ghasemi,Movaffaq Kateb,Pirooz Marashi
摘要
In the present work, we investigate the thermal conductivity (κ) of different core–shell nanowires using molecular dynamics simulation and Green–Kubo (EMD), imposing a temperature gradient (NEMD) and Müller-Plathe (rNEMD) approaches. We show that in GaAs@InAs nanowires, the interface effect becomes more significant than the nanowire cross-sectional geometry. In particular, κ decreases as the interface area increases, reaching a minimum, and then increases when the interface strain relaxes. This is particularly important for thermoelectric applications, where minimization of κ is desired. In particular, the different methods can predict minima at different core diameters without special considerations. In addition, the NEMD approach and, to a lesser extent, rNEMD tend to overestimate the κ values, which cannot be corrected with the methods available in the literature. By analyzing the temperature and length dependence, (I) we show that interfacial scattering primarily involves phonon–phonon interactions, which mainly affect low-energy modes, a mechanism that effectively reduces κ at low temperatures. (II) The Langevin thermostat tends to pump low-energy modes in the NEMD approach, but this effect decreases with longer nanowires. (III) Energy exchanges in rNEMD stimulate high-energy phonons, derived from the saturation of κ at a much shorter nanowire length than NEMD. These findings highlight the challenges of accurately determining κ of ultrathin core–shell nanowires, where only the EMD approach provides precise results. With the recognition of non-equilibrium contributions to the overestimation of κ by NEMD and rNEMD, these methods can still provide valuable insights for a comprehensive understanding of the underlying thermal transport mechanisms.
科研通智能强力驱动
Strongly Powered by AbleSci AI