Literature DB >> 32597451

The coexistence of threshold and memory switching characteristics of ALD HfO2 memristor synaptic arrays for energy-efficient neuromorphic computing.

Haider Abbas1, Yawar Abbas2, Gul Hassan3, Andrey Sergeevich Sokolov1, Yu-Rim Jeon1, Boncheol Ku1, Chi Jung Kang4, Changhwan Choi1.   

Abstract

The development of bioinspired electronic devices that can mimic the biological synapses is an essential step towards the development of efficient neuromorphic systems to simulate the functions of the human brain. Among various materials that can be utilized to attain electronic synapses, the existing semiconductor industry-compatible conventional materials are more favorable due to their low cost, easy fabrication and reliable switching properties. In this work, atomic layer deposited HfO2-based memristor synaptic arrays are fabricated. The coexistence of threshold switching (TS) and memory switching (MS) behaviors is obtained by modulating the device current. The TS characteristics are exploited to emulate essential synaptic functions. The Ag diffusive dynamics of our electronic synapses, analogous to the Ca2+ dynamics in biological synapses, is utilized to emulate synaptic functions. Electronic synapses successfully emulate paired-pulse facilitation (PPF), post-tetanic potentiation (PTP), spike-timing-dependent plasticity (STDP), short-term potentiation (STP), long-term potentiation (LTP) and transition from STP to LTP with rehearsals. The psychological memorization model of short-term memory (STM) to long-term memory (LTM) transition is mimicked by image memorization in crossbar array devices. Reliable and repeatable bipolar MS behaviors with a low operating voltage are obtained by a higher compliance current for energy-efficient nonvolatile memory applications.

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Year:  2020        PMID: 32597451     DOI: 10.1039/d0nr02335c

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  7 in total

Review 1.  Conductive Bridge Random Access Memory (CBRAM): Challenges and Opportunities for Memory and Neuromorphic Computing Applications.

Authors:  Haider Abbas; Jiayi Li; Diing Shenp Ang
Journal:  Micromachines (Basel)       Date:  2022-04-30       Impact factor: 3.523

2.  Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing.

Authors:  Rohit Abraham John; Yiğit Demirağ; Yevhen Shynkarenko; Yuliia Berezovska; Natacha Ohannessian; Melika Payvand; Peng Zeng; Maryna I Bodnarchuk; Frank Krumeich; Gökhan Kara; Ivan Shorubalko; Manu V Nair; Graham A Cooke; Thomas Lippert; Giacomo Indiveri; Maksym V Kovalenko
Journal:  Nat Commun       Date:  2022-04-19       Impact factor: 17.694

3.  Nanoscale-Resistive Switching in Forming-Free Zinc Oxide Memristive Structures.

Authors:  Roman V Tominov; Zakhar E Vakulov; Nikita V Polupanov; Aleksandr V Saenko; Vadim I Avilov; Oleg A Ageev; Vladimir A Smirnov
Journal:  Nanomaterials (Basel)       Date:  2022-01-28       Impact factor: 5.076

4.  A dual-functional Ta/TaO x /Ru device with both nonlinear selector and resistive switching behaviors.

Authors:  Rui Wang; Tuo Shi; Xumeng Zhang; Zuheng Wu; Qi Liu
Journal:  RSC Adv       Date:  2021-05-20       Impact factor: 4.036

5.  Low-power flexible organic memristor based on PEDOT:PSS/pentacene heterojunction for artificial synapse.

Authors:  Xiliang Luo; Jianyu Ming; Jincheng Gao; Jingwen Zhuang; Jingwei Fu; Zihan Ren; Haifeng Ling; Linghai Xie
Journal:  Front Neurosci       Date:  2022-09-08       Impact factor: 5.152

6.  Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing.

Authors:  Zhongrong Wang; Wei Wang; Pan Liu; Gongjie Liu; Jiahang Li; Jianhui Zhao; Zhenyu Zhou; Jingjuan Wang; Yifei Pei; Zhen Zhao; Jiaxin Li; Lei Wang; Zixuan Jian; Yichao Wang; Jianxin Guo; Xiaobing Yan
Journal:  Research (Wash D C)       Date:  2022-09-13

7.  Flexible Memory Device Composed of Metal-Oxide and Two-Dimensional Material (SnO2/WTe2) Exhibiting Stable Resistive Switching.

Authors:  Ghulam Dastgeer; Amir Muhammad Afzal; Jamal Aziz; Sajjad Hussain; Syed Hassan Abbas Jaffery; Deok-Kee Kim; Muhammad Imran; Mohammed Ali Assiri
Journal:  Materials (Basel)       Date:  2021-12-08       Impact factor: 3.623

  7 in total

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