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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.
School of Physical and Mathematical Sciences
Publication Year :
2023

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. Ministry of Education (MOE) National Research Foundation (NRF) Submitted/Accepted version The authors acknowledge the support from the CRP Grant No. NRF-CRP21-2018-0003 of the National Research Foundation (NRF), Singapore. S.N.P. acknowledges the partial support from the Tier 2 Grant No. MOE2019-T2-1-117 of the Ministry of Education (MOE) Singapore. P.M. thanks the Ministry of Education (MoE), India, and the Pratiksha Trust, India, for the financial support. S.G.B. acknowledges INSPIRE Faculty Fellowship, DST, INDIA for the funding.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......1392..96b0fb4377c7ff5539c447f8c0d0cfc5