A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite

Synaptic devices that emulate synchronized memory and processing are considered the core components of neuromorphic computing systems for the low-power implementation of artificial intelligence. In this regard, electrolyte-gated transistors (EGTs) have gained much scientific attention, having a simi...

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Main Authors: Monalisha, P., Li, Shengyao, Jin, Tianli, Kumar, P. S. Anil, Piramanayagam, S. N.
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/167232
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1672322023-05-22T15:38:50Z A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite Monalisha, P. Li, Shengyao Jin, Tianli Kumar, P. S. Anil Piramanayagam, S. N. School of Physical and Mathematical Sciences Division of Physics and Applied Physics Science::Physics::Atomic physics::Solid state physics Artificial Intelligence Neuromorphic Computing Electrolyte Gating Synaptic devices that emulate synchronized memory and processing are considered the core components of neuromorphic computing systems for the low-power implementation of artificial intelligence. In this regard, electrolyte-gated transistors (EGTs) have gained much scientific attention, having a similar working mechanism as the biological synapses. Moreover, compared to a traditional solid-state gate dielectric, the liquid dielectric has the key advantage of inducing extremely large modulation of carrier density while overcoming the problem of electric pinholes, that typically occurs when using large-area films gated through ultra-thin solid dielectrics. Herein we demonstrate a three-terminal synaptic transistor based on ruthenium-doped cobalt ferrite (CRFO) thin films by electrolyte gating. In the CRFO-based EGT, we have obtained multilevel non-volatile conductance states for analog computing and high-density storage. Furthermore, the proposed synaptic transistor exhibited essential synaptic behavior, including spike amplitude-dependent plasticity (SADP), spike duration-dependent plasticity (SDDP), long-term potentiation (LTP), and long-term depression (LTD) successfully by applying electrical pulses. This study can motivate the development of advanced neuromorphic devices that leverage simultaneous modulation of electrical and magnetic properties in the same device and show a new direction to synaptic electronics. Ministry of Education (MOE) National Research Foundation (NRF) Submitted/Accepted version The authors acknowledge the support from the CRP grant NRF-CRP21-2018-0003 of the National Research Foundation (NRF), Singapore. SNP acknowledges the partial support from the Tier 2 Grant MOE2019-T2-1-117 of the Ministry of Education (MOE) Singapore. PSAK acknowledges support from the Ministry of Education (MoE), India. 2023-05-18T02:38:17Z 2023-05-18T02:38:17Z 2023 Journal Article Monalisha, P., Li, S., Jin, T., Kumar, P. S. A. & Piramanayagam, S. N. (2023). A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite. Nanotechnology, 34(16), 165201-. https://dx.doi.org/10.1088/1361-6528/acb35a 0957-4484 https://hdl.handle.net/10356/167232 10.1088/1361-6528/acb35a 16 34 165201 en NRF-CRP21-2018-0003 MOE2019-T2-1-117 Nanotechnology © 2023 IOP Publishing Ltd. All rights reserved. This is an author-created, un-copyedited version of an article accepted for publication in Nanotechnology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at https://doi.org/10.1088/1361-6528/acb35a. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics::Atomic physics::Solid state physics
Artificial Intelligence
Neuromorphic Computing
Electrolyte Gating
spellingShingle Science::Physics::Atomic physics::Solid state physics
Artificial Intelligence
Neuromorphic Computing
Electrolyte Gating
Monalisha, P.
Li, Shengyao
Jin, Tianli
Kumar, P. S. Anil
Piramanayagam, S. N.
A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite
description Synaptic devices that emulate synchronized memory and processing are considered the core components of neuromorphic computing systems for the low-power implementation of artificial intelligence. In this regard, electrolyte-gated transistors (EGTs) have gained much scientific attention, having a similar working mechanism as the biological synapses. Moreover, compared to a traditional solid-state gate dielectric, the liquid dielectric has the key advantage of inducing extremely large modulation of carrier density while overcoming the problem of electric pinholes, that typically occurs when using large-area films gated through ultra-thin solid dielectrics. Herein we demonstrate a three-terminal synaptic transistor based on ruthenium-doped cobalt ferrite (CRFO) thin films by electrolyte gating. In the CRFO-based EGT, we have obtained multilevel non-volatile conductance states for analog computing and high-density storage. Furthermore, the proposed synaptic transistor exhibited essential synaptic behavior, including spike amplitude-dependent plasticity (SADP), spike duration-dependent plasticity (SDDP), long-term potentiation (LTP), and long-term depression (LTD) successfully by applying electrical pulses. This study can motivate the development of advanced neuromorphic devices that leverage simultaneous modulation of electrical and magnetic properties in the same device and show a new direction to synaptic electronics.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Monalisha, P.
Li, Shengyao
Jin, Tianli
Kumar, P. S. Anil
Piramanayagam, S. N.
format Article
author Monalisha, P.
Li, Shengyao
Jin, Tianli
Kumar, P. S. Anil
Piramanayagam, S. N.
author_sort Monalisha, P.
title A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite
title_short A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite
title_full A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite
title_fullStr A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite
title_full_unstemmed A multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite
title_sort multilevel electrolyte-gated artificial synapse based on ruthenium-doped cobalt ferrite
publishDate 2023
url https://hdl.handle.net/10356/167232
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