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Incremental Drain-Voltage-Ramping Training Method for Ferroelectric Field-Effect Transistor Synaptic Devices
- Nguyen, Manh-Cuong;
- Lee, Kitae;
- Kim, Sihyun;
- Youn, Sangwook;
- Hwang, Yeongjin;
- ... Choi, Rino;
- 외 2명
WEB OF SCIENCE
24SCOPUS
25초록
We demonstrate a HfZrO2 (HZO) ferroelectric field-effect transistor fabricated on a silicon-on-insulator substrate, targeting MHz synaptic device applications. Stable multistate weights were implemented with robust retention, excellent linearity, and symmetric potentiation/depression (P/D) in the fabricated HZO ferroelectric field-effect transistors (FeFETs). To further improve the linearity and symmetry of the P/D and to expand the operating condition of the FeFETs as a synaptic device, a novel incremental drain-voltage-ramping method was proposed, and its compatibility was verified thoroughly. The results revealed that a linear and symmetric P/D with stable repeatability was obtained under a wide range of operating conditions, and a learning accuracy of 95% was achieved through MNIST pattern recognition simulations.
키워드
- 제목
- Incremental Drain-Voltage-Ramping Training Method for Ferroelectric Field-Effect Transistor Synaptic Devices
- 저자
- Nguyen, Manh-Cuong; Lee, Kitae; Kim, Sihyun; Youn, Sangwook; Hwang, Yeongjin; Kim, Hyungjin; Choi, Rino; Kwon, Daewoong
- 발행일
- 2022-01
- 유형
- Article
- 권
- 43
- 호
- 1
- 페이지
- 17 ~ 20