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Implementation of 8-bit reservoir computing through volatile ZrOx-based memristor as a physical reservoir
- Ju, Dongyeol;
- Koo, Minsuk;
- Kim, Sungjun
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34SCOPUS
34초록
In this study, we employed a sputtering process to construct a memristive device within the ITO/ZrOx/TaN structure for implementing neuromorphic computing. Initially, we scanned the basic electrical properties of the ITO/ZrOx/TaN device using a DC voltage sweep on the top ITO electrode. A highly uniform gradual resistive switching phenomenon was observed over 100 cycles. The current decay in the low-resistance state was effectively controlled by the volatile memory properties. Gradual conductance changes for potentiation and depression were achieved by applying electrical pulses, enabling the establishment of multi-level conductance states. In addition, the emulation of various synaptic functions was achieved by following the learning rules of SRDP, EPSC, STDP, ADSP, Pavlovian associative learning, and PPF. Finally, 8-bit reservoir computing was demonstrated in cost-effective pattern generation and recognition, highlighting the ITO/ZrOx/TaN device's advantageous memory storage properties for synaptic characteristics. © 2024 Elsevier Ltd
키워드
- 제목
- Implementation of 8-bit reservoir computing through volatile ZrOx-based memristor as a physical reservoir
- 저자
- Ju, Dongyeol; Koo, Minsuk; Kim, Sungjun
- 발행일
- 2024-09
- 유형
- Article
- 저널명
- Nano Energy
- 권
- 128
- 페이지
- 1 ~ 13