The observation of Gaussian distribution and origination identification of deep defects in AlGaN/GaN MIS-HEMT

Author:

Chang Kuan-Chang1ORCID,Dai Tianjiao1,Wang Zhengda1,Huang Zhangwei1,Lin Xinnan1ORCID,Li Lei1ORCID

Affiliation:

1. School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen 518055, China

Abstract

This paper proposes a math-physical correlative method that monitors deep defect response by electrical measurement and calculates the state density by designed mathematical processing. The extracted Gaussian distribution of deep defects was discussed according to the theoretical model for the density of states. The accuracy of this method was also verified through 1/f low frequency noise analysis. The origination of deep defects was investigated by transmission electron microscope, x-ray photoelectron spectroscopy, and photoluminescence analysis, and a molecular model was constructed. Therefore, multiple perspectives of deep defects have been studied by combining electrical measurements, mathematical data processing, and materials analysis, providing inspiration for future comprehensive study on deep defects of the GaN-based device.

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China-Guangdong Joint Fund

Shenzhen Municipal Scientific Program

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

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