Yongjia Li, Guiqiang Zheng, Jie Ma, Yong Gu, Jiaxing Wei, Sheng Li, Long Zhang, Siyang Liu, Weifeng Sun
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引用次数: 0
Abstract
In this paper, the influence of N-type substate’s bias potential on electrical characteristics of 4H Silicon carbide (SiC) integrated devices for all-SiC monolithic ICs are investigated by measurements and simulations. The devices were fabricated on 4H-SiC (0001) wafer with N-type substrate and P-type epitaxial layer. The measurement results show that changing bias potential of N-type substrate has significant effect on on-state BV (BVON) and off-state BV (BVOFF) for high-voltage devices. Technology computer aided design (TCAD) simulations are carried out to give insight into the mechanism of the influence of substrate’s bias potential. In mechanism revealing, the connection type of substrate is divided into three modes: (i) grounded substate mode, (ii) floating substate mode, (iii) high-voltage substate mode, and different connection modes results in different depletion types in drift region, which in turn affects BVON and BVOFF.
By comparison, floating substrate is the best choose among three connection modes mentioned above for high-voltage SiC devices. Based on the revealed influence mechanisms of substate’s bias potential, an efficient method to eliminate the influence of N-type substate’s bias potential is proposed in this paper, which results in stable and high BVON and BVOFF.
期刊介绍:
It is the aim of this journal to bring together in one publication outstanding papers reporting new and original work in the following areas: (1) applications of solid-state physics and technology to electronics and optoelectronics, including theory and device design; (2) optical, electrical, morphological characterization techniques and parameter extraction of devices; (3) fabrication of semiconductor devices, and also device-related materials growth, measurement and evaluation; (4) the physics and modeling of submicron and nanoscale microelectronic and optoelectronic devices, including processing, measurement, and performance evaluation; (5) applications of numerical methods to the modeling and simulation of solid-state devices and processes; and (6) nanoscale electronic and optoelectronic devices, photovoltaics, sensors, and MEMS based on semiconductor and alternative electronic materials; (7) synthesis and electrooptical properties of materials for novel devices.