Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors

Abstract Neuromorphic systems, inspired by the human brain, promise significant advancements in computational efficiency and power consumption by integrating processing and memory functions, thereby addressing the von Neumann bottleneck. This paper explores the synaptic plasticity of a WO3‐based ion...

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Main Authors: Ramin Karimi Azari, Luan Pereira Camargo, José Ramón Herrera Garza, Liam Collins, Wan− Yu Tsai, Lariel Chagas da Silva Neres, Patrick Dang, Martin Schwellberger Barbosa, Clara Santato
Format: Article
Language:English
Published: Wiley-VCH 2025-06-01
Series:Advanced Electronic Materials
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Online Access:https://doi.org/10.1002/aelm.202400807
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author Ramin Karimi Azari
Luan Pereira Camargo
José Ramón Herrera Garza
Liam Collins
Wan− Yu Tsai
Lariel Chagas da Silva Neres
Patrick Dang
Martin Schwellberger Barbosa
Clara Santato
author_facet Ramin Karimi Azari
Luan Pereira Camargo
José Ramón Herrera Garza
Liam Collins
Wan− Yu Tsai
Lariel Chagas da Silva Neres
Patrick Dang
Martin Schwellberger Barbosa
Clara Santato
author_sort Ramin Karimi Azari
collection DOAJ
description Abstract Neuromorphic systems, inspired by the human brain, promise significant advancements in computational efficiency and power consumption by integrating processing and memory functions, thereby addressing the von Neumann bottleneck. This paper explores the synaptic plasticity of a WO3‐based ion‐gated transistor (IGT) in [EMIM][TFSI] and a 0.1 mol L−1 LiTFSI in [EMIM][TFSI] for neuromorphic computing applications. Cyclic voltammetry (CV), transistor characteristics, and atomic force microscopy (AFM) force–distance (FD) profiling analyses reveal that Li+ brings about ion intercalation, together with higher mobility and conductance, and slower response time (τ). WO3 IGTs exhibit spike amplitude‐dependent plasticity (SADP), spike number‐dependent plasticity (SNDP), spike duration‐dependent plasticity (SDDP), frequency‐dependent plasticity (FDP), and paired‐pulse facilitation (PPF), which are all crucial for mimicking biological synaptic functions and understanding how to achieve different types of plasticity in the same IGT. The findings underscore the importance of selecting the appropriate ionic medium to optimize the performance of synaptic transistors, enabling the development of neuromorphic systems capable of adaptive learning and real‐time processing, which are essential for applications in artificial intelligence (AI).
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spelling doaj-art-bb376d5dce124b409c045cd38d71c15e2025-08-20T02:24:22ZengWiley-VCHAdvanced Electronic Materials2199-160X2025-06-01118n/an/a10.1002/aelm.202400807Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated TransistorsRamin Karimi Azari0Luan Pereira Camargo1José Ramón Herrera Garza2Liam Collins3Wan− Yu Tsai4Lariel Chagas da Silva Neres5Patrick Dang6Martin Schwellberger Barbosa7Clara Santato8Engineering Physics Polytechnique Montreal 2500 Ch. Polytechnique Montréal QC H3T 1J4 CanadaEngineering Physics Polytechnique Montreal 2500 Ch. Polytechnique Montréal QC H3T 1J4 CanadaEngineering Physics Polytechnique Montreal 2500 Ch. Polytechnique Montréal QC H3T 1J4 CanadaOak Ridge National Laboratory 1 Bethel Valley Road Oak Ridge TN 37830 USAOak Ridge National Laboratory 1 Bethel Valley Road Oak Ridge TN 37830 USAEngineering Physics Polytechnique Montreal 2500 Ch. Polytechnique Montréal QC H3T 1J4 CanadaEngineering Physics Polytechnique Montreal 2500 Ch. Polytechnique Montréal QC H3T 1J4 CanadaInstitute of Chemistry Federal University of Goiás (UFG) Goiânia GO 74690‐900 BrazilEngineering Physics Polytechnique Montreal 2500 Ch. Polytechnique Montréal QC H3T 1J4 CanadaAbstract Neuromorphic systems, inspired by the human brain, promise significant advancements in computational efficiency and power consumption by integrating processing and memory functions, thereby addressing the von Neumann bottleneck. This paper explores the synaptic plasticity of a WO3‐based ion‐gated transistor (IGT) in [EMIM][TFSI] and a 0.1 mol L−1 LiTFSI in [EMIM][TFSI] for neuromorphic computing applications. Cyclic voltammetry (CV), transistor characteristics, and atomic force microscopy (AFM) force–distance (FD) profiling analyses reveal that Li+ brings about ion intercalation, together with higher mobility and conductance, and slower response time (τ). WO3 IGTs exhibit spike amplitude‐dependent plasticity (SADP), spike number‐dependent plasticity (SNDP), spike duration‐dependent plasticity (SDDP), frequency‐dependent plasticity (FDP), and paired‐pulse facilitation (PPF), which are all crucial for mimicking biological synaptic functions and understanding how to achieve different types of plasticity in the same IGT. The findings underscore the importance of selecting the appropriate ionic medium to optimize the performance of synaptic transistors, enabling the development of neuromorphic systems capable of adaptive learning and real‐time processing, which are essential for applications in artificial intelligence (AI).https://doi.org/10.1002/aelm.202400807ion gated transistorsion gating mediaion intercalationneuromorphic computingsynaptic plasticitysynaptic transistors
spellingShingle Ramin Karimi Azari
Luan Pereira Camargo
José Ramón Herrera Garza
Liam Collins
Wan− Yu Tsai
Lariel Chagas da Silva Neres
Patrick Dang
Martin Schwellberger Barbosa
Clara Santato
Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors
Advanced Electronic Materials
ion gated transistors
ion gating media
ion intercalation
neuromorphic computing
synaptic plasticity
synaptic transistors
title Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors
title_full Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors
title_fullStr Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors
title_full_unstemmed Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors
title_short Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors
title_sort emulation of synaptic plasticity in wo3 based ion gated transistors
topic ion gated transistors
ion gating media
ion intercalation
neuromorphic computing
synaptic plasticity
synaptic transistors
url https://doi.org/10.1002/aelm.202400807
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