1.7kV Fully-Vertical GaN Trench MOSFET with Nitrogen Ion-Implanted Guard Rings

This work presents a high-performance fully vertical GaN trench MOSFET on GaN substrate, featuring a selective nitrogen ion-implanted guard rings (GRs) edge termination. The device exhibits a high breakdown voltage (BV) of 1715 V, a normally-off operation with a threshold voltage (Vth) of 4.1 V, and a specific on-resistance (Ron,sp) of 5.3 mΩ·cm2 and 262 Ω∙mm, respectively. The termination relies on a single-mask selective implantation process, where multi-energy nitrogen implantation creates semi-insulating regions in the GaN layer, yielding electrically isolated floating p-GaN rings. This method capitalizes on the inherent features of the material layer structure to implement the termination, without the need of complex processing steps. Technology Computer-Aided Design (TCAD) simulations show that the uniformly formed p-GaN rings effectively redistribute the electric field, mitigating peak field crowding at the device periphery. With a 5-ring design, the device demonstrates excellent voltage-blocking capability. The proposed implantation-based guard-ring technique, notable for its process efficiency and fabrication simplicity, provides a reliable approach for realizing high-performance 1.7 kV-class vertical GaN trench MOSFETs.

Authors

Institutions

Publication Details

Journal
Nanotechnology
Published
2026-08-03
DOI
https://doi.org/10.1088/1361-6528/ae93c2
Primary Topic
GaN-based semiconductor devices and materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

1.7kV Fully-Vertical GaN Trench MOSFET with Nitrogen Ion-Implanted Guard Rings

Guoliang Peng, Chunfu Zhang, Chao Liu, Maojun Wang et al.
Nanotechnology
GaN-based semiconductor devices and materials
article

1.7kV Fully-Vertical GaN Trench MOSFET with Nitrogen Ion-Implanted Guard Rings

Guoliang Peng, Chunfu Zhang, Chao Liu, Maojun Wang, Changfa Sun, Yachao Zhang, Cui Yang, Wei Mao, Li Zheng, Dongguo Fan, Yuanyuan Xie, Yuchuan Ma, Yue Hao, Jincheng Zhang
article en

Abstract

This work presents a high-performance fully vertical GaN trench MOSFET on GaN substrate, featuring a selective nitrogen ion-implanted guard rings (GRs) edge termination. The device exhibits a high breakdown voltage (BV) of 1715 V, a normally-off operation with a threshold voltage (Vth) of 4.1 V, and a specific on-resistance (Ron,sp) of 5.3 mΩ·cm2 and 262 Ω∙mm, respectively. The termination relies on a single-mask selective implantation process, where multi-energy nitrogen implantation creates semi-insulating regions in the GaN layer, yielding electrically isolated floating p-GaN rings. This method capitalizes on the inherent features of the material layer structure to implement the termination, without the need of complex processing steps. Technology Computer-Aided Design (TCAD) simulations show that the uniformly formed p-GaN rings effectively redistribute the electric field, mitigating peak field crowding at the device periphery. With a 5-ring design, the device demonstrates excellent voltage-blocking capability. The proposed implantation-based guard-ring technique, notable for its process efficiency and fabrication simplicity, provides a reliable approach for realizing high-performance 1.7 kV-class vertical GaN trench MOSFETs.

Nanotechnology
Xidian University (CN), Shandong University (CN), Peking University (CN), Shanghai Institute of Microsystem and Information Technology (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 13%
GaN-based semiconductor devices and materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.