Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/165591
Title: Synaptic behavior of Fe₃O₄-based artificial synapse by electrolyte gating for neuromorphic computing
Authors: Monalisha, P.
Li, Shengyao
Bhat, Shwetha G.
Jin, Tianli
Kumar P. S. Anil
Piramanayagam, S. N.
Keywords: Science::Physics::Atomic physics::Solid state physics
Issue Date: 2023
Source: Monalisha, P., Li, S., Bhat, S. G., Jin, T., Kumar P. S. Anil & Piramanayagam, S. N. (2023). Synaptic behavior of Fe₃O₄-based artificial synapse by electrolyte gating for neuromorphic computing. Journal of Applied Physics, 133(8), 084901-. https://dx.doi.org/10.1063/5.0120854
Project: NRF-CRP21-2018-0003 
MOE2019-T2-1-117 
Journal: Journal of Applied Physics 
Abstract: Neuromorphic computing (NC) is a crucial step toward realizing power-efficient artificial intelligence systems. Hardware implementation of NC is expected to overcome the challenges associated with the conventional von Neumann computer architecture. Synaptic devices that can emulate the rich functionalities of biological synapses are emerging. Out of several approaches, electrolyte-gated synaptic transistors have attracted enormous scientific interest owing to their similar working mechanism. Here, we report a three-terminal electrolyte-gated synaptic transistor based on Fe3O4 thin films, a half-metallic spinel ferrite. We have realized gate-controllable multilevel, non-volatile, and rewritable states for analog computing. Furthermore, we have emulated essential synaptic functions by applying electrical stimulus to the gate terminal of the synaptic device. This work provides a new candidate and a platform for spinel ferrite-based devices for future NC applications.
URI: https://hdl.handle.net/10356/165591
ISSN: 0021-8979
DOI: 10.1063/5.0120854
Schools: School of Physical and Mathematical Sciences 
Rights: © 2023 Author(s). All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Monalisha, P., Li, S., Bhat, S. G., Jin, T., Kumar P. S. Anil & Piramanayagam, S. N. (2023). Synaptic behavior of Fe₃O₄-based artificial synapse by electrolyte gating for neuromorphic computing. Journal of Applied Physics, 133(8), 084901- and may be found at . https://dx.doi.org/10.1063/5.0120854
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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