상세 보기
- Patil, Shubham V.;
- Mullani, Navaj B.;
- Nirmal, Kiran;
- Hyun, Gihwan;
- Alimkhanuly, Batyrbek;
- ... Park, Jun Hong;
- 외 4명
WEB OF SCIENCE
11SCOPUS
12초록
Metal oxide resistive memory is a potential device that can substantially influence the current roadmap for nonvolatile memory and neuromorphic computing. However, common amorphous oxide-based resistive random-access memory suffers from high forming voltages that complicate circuit design and abrupt SET behavior incompatible with analog weight updates. To overcome such limitations, wurtzite ZnO nanorods were synthesized on a fluorine-doped tin oxide (FTO) substrate and a bipolar resistive memory with the Ag/w-ZnO/FTO stacking sequence was fabricated. The hexagonal NR morphology of w-ZnO with controlled vertical growth and nanochannel formation between the NRs were produced by in situ crystalline growth. This morphology enabled a forming-free switching and an analog switching effect that emulated neuromorphic functionalities such as potentiation–depression and complex spike-time dependent plasticity-based Hebbian learning rules. Importantly, the device exhibited nonabrupt switching behavior suitable for analog weight updates in neuromorphic computing in contrast to conventional resistive memory. © 2023 Vietnam National University, Hanoi
키워드
- 제목
- Spike-time dependent plasticity of tailored ZnO nanorod-based resistive memory for synaptic learning
- 저자
- Patil, Shubham V.; Mullani, Navaj B.; Nirmal, Kiran; Hyun, Gihwan; Alimkhanuly, Batyrbek; Kamat, Rajanish K.; Park, Jun Hong; Kim, Sanghoek; Dongale, Tukaram D.; Lee, Seunghyun
- 발행일
- 2023-12
- 유형
- Article
- 저널명
- Journal of Science: Advanced Materials and Devices
- 권
- 8
- 호
- 4