Y2O3-Based Crossbar Array for Analog and Neuromorphic Computation
  • Kumar, Sanjay
  • Kumbhar, Dhananjay D. D.
  • Park, Jun H. H.
  • Kamat, Rajanish K. K.
  • Dongale, Tukaram D. D.
  • 외 1명
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초록

we report an implementation of (8 x 8) Y2O3-based memristive crossbar array (MCA) out of a total dimension of (30 x 25) array fabricated by utilizing a dual ion beam sputtering (DIBS) system. The selected (8 x 8) MCA is further used to electrically write random alphabets and perform synaptic learning characteristics to perform analog and neuromorphic computing applications. The MCA effectively exhibits multiple current levels and mimics var-ious artificial synaptic properties with superior bidirec-tional switching responses. The MCA mimics potentiation, depression, and different Hebbian learning-based spike-time-dependent plasticity rules, suggesting the importance of the Y2O3-based MCA for large-scale neuromorphic and analog computations. This work provides different insights into the design of an artificial synapse by utilizing Y2O3 as a switching oxide in memristors.

키워드

SynapsesSwitchesNeuromorphicsWritingMemristorsDepressionVoltageArtificial synapsecrossbarY2O3neuromorphic computationspike-time-dependent plasticity (STDP)SYNAPTIC DEVICEPLASTICITYMEMORY
제목
Y2O3-Based Crossbar Array for Analog and Neuromorphic Computation
저자
Kumar, SanjayKumbhar, Dhananjay D. D.Park, Jun H. H.Kamat, Rajanish K. K.Dongale, Tukaram D. D.Mukherjee, Shaibal
DOI
10.1109/TED.2022.3227890
발행일
2023-02
유형
Article
저널명
IEEE Transactions on Electron Devices
70
2
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