材料科学
蒙特卡罗方法
热导率
工作(物理)
热的
界面热阻
图层(电子)
热阻
光电子学
边界(拓扑)
电导率
动力学蒙特卡罗方法
凝聚态物理
复合材料
热力学
物理
数学分析
统计
数学
量子力学
作者
Thomas L. Bougher,Luke Yates,Chien-Fong Lo,Wayne Johnson,Samuel Graham,Baratunde A. Cola
标识
DOI:10.1080/15567265.2016.1154630
摘要
In this work, we investigate the thermal boundary resistance and thermal conductivity of GaN layers grown on Si with 100 nm AlN transition layers using time domain thermoreflectance (TDTR). The GaN layers ranged from 0.31 to 1.27 μm. Due to the challenges in determining the thermal boundary resistance of the buried interfaces found in this architecture, a new data reduction scheme for TDTR that utilizes a Monte Carlo fitting method is introduced and found to dramatically reduce the uncertainty in certain model parameters. The results show that the GaN thermal conductivity does not change significantly with layer thickness, whereas the resistance of the AlN layer decreases slightly with GaN thickness.
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