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Molecular dynamics simulations of thermal transport in isotopically modulated semiconductor nanostructures

机译:同位素调制半导体纳米结构中热输运的分子动力学模拟

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In this paper, we investigate the effect of isotopic modulation on the thermal conductivity of semiconductor nanostructures. The isotope doping is of particular interest for the application of semiconductors as thermoelectric materials as it leaves the electronic properties practically unaffected while the phononic transport is retarded. This approach could increase the figure of merit of thermoelectric generators by decreasing the thermal conductivity of semiconductors. We use non-equilibrium molecular dynamics simulations to examine thermal transport in isotopically engineered semiconductors. The temperature profiles along the sample region deduced from the simulations allow the extraction of thermal conductivities. The reliability of the MD-predicted thermal conductivities is studied by analyzing the influence of the input parameters on the results. The first set of samples are isotopically modified silicon samples. The influence of temperature, isotopic composition, and ordering of isotopic defects on the thermal conductivity of silicon is studied. The second material system under investigation is silicon germanium alloys. The influence of isotopic modulation on the thermal conductivity of Si-Ge alloys is examined for varying chemical composition. The thermal conductivities predicted by MD are compared to results derived from the solution of the Bolt/.mann transport equation in the relaxation time approach.
机译:在本文中,我们研究了同位素调制对半导体纳米结构热导率的影响。同位素掺杂对于半导体作为热电材料的应用特别感兴趣,因为在声子传输受到阻碍的同时,它实际上不影响电子性能。这种方法可以通过降低半导体的热导率来提高热电发电机的性能。我们使用非平衡分子动力学模拟来研究同位素工程半导体中的热传递。从模拟得出的沿样品区域的温度曲线允许提取热导率。通过分析输入参数对结果的影响,研究了MD预测的热导率的可靠性。第一组样品是同位素改性的硅样品。研究了温度,同位素组成和同位素缺陷的有序性对硅的导热性的影响。正在研究的第二种材料系统是硅锗合金。针对化学组成的变化,研究了同位素调制对Si-Ge合金热导率的影响。在松弛时间方法中,将通过MD预测的热导率与从Bolt / .mann输运方程的解得出的结果进行比较。

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