Literature DB >> 30924206

A Ferrite Synaptic Transistor with Topotactic Transformation.

Chen Ge1, Chang-Xiang Liu1,2, Qing-Li Zhou2, Qing-Hua Zhang1, Jian-Yu Du1, Jian-Kun Li1, Can Wang1,3, Lin Gu1, Guo-Zhen Yang1, Kui-Juan Jin1,3.   

Abstract

Hardware implementation of artificial synaptic devices that emulate the functions of biological synapses is inspired by the biological neuromorphic system and has drawn considerable interest. Here, a three-terminal ferrite synaptic device based on a topotactic phase transition between crystalline phases is presented. The electrolyte-gating-controlled topotactic phase transformation between brownmillerite SrFeO2.5 and perovskite SrFeO3- δ is confirmed from the examination of the crystal and electronic structure. A synaptic transistor with electrolyte-gated ferrite films by harnessing gate-controllable multilevel conduction states, which originate from many distinct oxygen-deficient perovskite structures of SrFeOx induced by topotactic phase transformation, is successfully constructed. This three-terminal artificial synapse can mimic important synaptic functions, such as synaptic plasticity and spike-timing-dependent plasticity. Simulations of a neural network consisting of ferrite synaptic transistors indicate that the system offers high classification accuracy. These results provide insight into the potential application of advanced topotactic phase transformation materials for designing artificial synapses with high performance.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  artificial synapses; complex oxides; electrolyte gating; synaptic transistors; topotactic transformations

Year:  2019        PMID: 30924206     DOI: 10.1002/adma.201900379

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  5 in total

1.  Sputtered Electrolyte-Gated Transistor with Temperature-Modulated Synaptic Plasticity Behaviors.

Authors:  Yang Ming Fu; Hu Li; Tianye Wei; Long Huang; Faricha Hidayati; Aimin Song
Journal:  ACS Appl Electron Mater       Date:  2022-05-18

2.  Highly Controllable and Silicon-Compatible Ferroelectric Photovoltaic Synapses for Neuromorphic Computing.

Authors:  Shengliang Cheng; Zhen Fan; Jingjing Rao; Lanqing Hong; Qicheng Huang; Ruiqiang Tao; Zhipeng Hou; Minghui Qin; Min Zeng; Xubing Lu; Guofu Zhou; Guoliang Yuan; Xingsen Gao; Jun-Ming Liu
Journal:  iScience       Date:  2020-11-30

Review 3.  Competing memristors for brain-inspired computing.

Authors:  Seung Ju Kim; Sang Bum Kim; Ho Won Jang
Journal:  iScience       Date:  2020-12-03

4.  Biocompatible Casein Electrolyte-Based Electric-Double-Layer for Artificial Synaptic Transistors.

Authors:  Hwi-Su Kim; Hamin Park; Won-Ju Cho
Journal:  Nanomaterials (Basel)       Date:  2022-07-28       Impact factor: 5.719

5.  Binary-Synaptic Plasticity in Ambipolar Ni-Silicide Schottky Barrier Poly-Si Thin Film Transistors Using Chitosan Electric Double Layer.

Authors:  Ki-Woong Park; Won-Ju Cho
Journal:  Nanomaterials (Basel)       Date:  2022-09-03       Impact factor: 5.719

  5 in total

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