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Michael Jin
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2020 – today
- 2024
- [c5]Jiashu Qian, Limeng Shi, Michael Jin, Monikuntala Bhattacharya, Hengyu Yu, Marvin H. White, Anant K. Agarwal, Atsushi Shimbori, Tianshi Liu, Shengnan Zhu:
Investigation of the Electron Trapping in Commercial Thick Silicon Dioxides Thermally Grown on 4H-SiC under the Constant Current Stress. IRPS 2024: 1-6 - [c4]Limeng Shi, Jiashu Qian, Michael Jin, Monikuntala Bhattacharya, Hengyu Yu, Marvin H. White, Anant K. Agarwal, Atsushi Shimbori:
Evaluation of Burn-in Technique on Gate Oxide Reliability in Commercial SiC MOSFETs. IRPS 2024: 1-6 - 2023
- [c3]Limeng Shi, Shengnan Zhu, Jiashu Qian, Michael Jin, Monikuntala Bhattacharya, Marvin H. White, Anant K. Agarwal, Atsushi Shimbori, Tianshi Liu:
Investigation of different screening methods on threshold voltage and gate oxide lifetime of SiC Power MOSFETs. IRPS 2023: 1-7 - [c2]Shengnan Zhu, Limeng Shi, Michael Jin, Jiashu Qian, Monikuntala Bhattacharya, Hema Lata Rao Maddi
, Marvin H. White, Anant K. Agarwal, Tianshi Liu, Atsushi Shimbori, Chingchi Chen:
Reliability Comparison of Commercial Planar and Trench 4H-SiC Power MOSFETs. IRPS 2023: 1-5 - 2022
- [c1]Saumya Gupta
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (29) 2022: 701-718 - [i1]Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR abs/2207.09654 (2022)
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