Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156420
Title: Emulation of synaptic plasticity on cobalt-based synaptic transistor for neuromorphic computing
Authors: Monalisha, P.
Kumar, Anil P. S.
Wang, Renshaw Xiao
Piramanayagam, S. N.
Keywords: Science::Physics
Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Monalisha, P., Kumar, A. P. S., Wang, R. X. & Piramanayagam, S. N. (2022). Emulation of synaptic plasticity on cobalt-based synaptic transistor for neuromorphic computing. ACS Applied Materials & Interfaces, 14(9), 11864-11872. https://dx.doi.org/10.1021/acsami.1c19916
Project: NRF-CRP21-2018-003
MOE2019-T2-1-117
Journal: ACS Applied Materials & Interfaces 
Abstract: Neuromorphic computing (NC), which emulates neural activities of the human brain, is considered for the low-power implementation of artificial intelligence. Toward realizing NC, fabrication, and investigations of hardware elementssuch as synaptic devices and neuronsare crucial. Electrolyte gating has been widely used for conductance modulation by massive carrier injections and has proven to be an effective way of emulating biological synapses. Synaptic devices, in the form of synaptic transistors, have been studied using various materials. Despite the remarkable progress, the study of metallic channel-based synaptic transistors remains massively unexplored. Here, we demonstrated a three-terminal electrolyte gatingmodulated synaptic transistor based on a metallic cobalt thin film to emulate biological synapses. We have realized gating-controlled, non-volatile, and distinct multilevel conductance states in the proposed device. The essential synaptic functions demonstrating both short-term and long-term plasticity have been emulated in the synaptic device. A transition from short-term to long-term memory has been realized by tuning the gate pulse parameters, such as amplitude and duration. The crucial cognitive behavior, including learning, forgetting, and re-learning, has been emulated, showing a resemblance to the human brain. Beyond that, dynamic filtering behavior has been experimentally implemented in the synaptic device. These results provide an insight into the design of metallic channel-based synaptic transistors for NC.
URI: https://hdl.handle.net/10356/156420
ISSN: 1944-8244
DOI: 10.1021/acsami.1c19916
Rights: This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Applied Materials & Interfaces, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acsami.1c19916.
Fulltext Permission: embargo_20230316
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
SPMS Journal Articles

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  Until 2023-03-16
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