位错
材料科学
单色
光学
同步加速器
结晶学
斑点
反射(计算机编程)
镶嵌
衍射
X射线晶体学
物理
计算机科学
复合材料
化学
物理化学
程序设计语言
作者
Masakazu Kanechika,S. Yamaguchi,Yoshihiro Kishida,Kosuke Kitazumi,Kazuhisa Isegawa,Yasuji Kimoto
标识
DOI:10.35848/1347-4065/adb406
摘要
Abstract We studied the classification of threading dislocations in an ammonothermal GaN substrate by analyzing the spot size in dislocation images obtained via synchrotron back-reflection X-ray topography. The spot size reflects the lattice distortion or strain surrounding the dislocations, enabling us to categorize the dislocation types based on their respective spot sizes. To achieve this, we employed both a high-quality X-ray camera and a high monochromatic X-ray. Consequently, we classified the dislocations based on spot size in X-ray topography images using the 0008-reflection plane and experimentally determined that the small, middle and large spots correspond to edge dislocations, mixed dislocations with b = na + 1c (n=1, 2), and mixed dislocations with Burgers vectors with b = na + 2c (n=1, 2), respectively. This method is promising for the non-destructive classification of dislocations across an entire surface in a short time.
科研通智能强力驱动
Strongly Powered by AbleSci AI