Spike-time dependent plasticity of tailored ZnO nanorod-based resistive memory for synaptic learning
  • Patil, Shubham V.
  • Mullani, Navaj B.
  • Nirmal, Kiran
  • Hyun, Gihwan
  • Alimkhanuly, Batyrbek
  • ... Park, Jun Hong
  • 외 4명
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초록

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

Analog memristorNanochannel switchingNeuromorphic electron devicesSpike-time dependent plasticity
제목
Spike-time dependent plasticity of tailored ZnO nanorod-based resistive memory for synaptic learning
저자
Patil, Shubham V.Mullani, Navaj B.Nirmal, KiranHyun, GihwanAlimkhanuly, BatyrbekKamat, Rajanish K.Park, Jun HongKim, SanghoekDongale, Tukaram D.Lee, Seunghyun
DOI
10.1016/j.jsamd.2023.100617
발행일
2023-12
유형
Article
저널명
Journal of Science: Advanced Materials and Devices
8
4