Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications

The emulation of the biological synapses is essential for brain-inspired computing which is expected to overcome the traditional von Neumann bottleneck. Thus, synaptic memristor with analog resistive switching (RS) is highly desirable in non-volatile memristors for future neuromorphic computing. Her...

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Main Authors: Wanxuan Xie, Yang Zhong, Dehui Wang, Lun Zhong, Lu Han, Qiongfen Yang, Wenjing Jie
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127523007827
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author Wanxuan Xie
Yang Zhong
Dehui Wang
Lun Zhong
Lu Han
Qiongfen Yang
Wenjing Jie
author_facet Wanxuan Xie
Yang Zhong
Dehui Wang
Lun Zhong
Lu Han
Qiongfen Yang
Wenjing Jie
author_sort Wanxuan Xie
collection DOAJ
description The emulation of the biological synapses is essential for brain-inspired computing which is expected to overcome the traditional von Neumann bottleneck. Thus, synaptic memristor with analog resistive switching (RS) is highly desirable in non-volatile memristors for future neuromorphic computing. Herein, the co-existence of digital and analog RS can be observed in two-dimensional (2D) layered BiOI nanosheets sandwiched by the top and bottom Pt electrodes. The vertical Pt/BiOI/Pt memristors demonstrate typical bipolar RS behaviors with a large ON/OFF ratio of 1.0 × 103 and long retention time up to 1.6 × 104 s under a relatively large operation voltage. When the operation voltages are reduced to 1 V, analog RS behaviors with a series of tunable resistance states can be observed. The adjustable resistance states can be utilized to emulate “learning-forgetting” experience of human brain. Repeatable long-term potentiation (LTP) and long-term depression (LTD) cycles can be implemented based on the synaptic memristors, which can be used for simulation of artificial neural network for image recognition with accuracy up to 91.15 %. Moreover, Pavlov’s dog experiment is successfully emulated based on the synaptic memristors. This study suggests good prospects of the synaptic memristors based on BiOI nanosheets for future neuromorphic computing.
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spelling doaj.art-4cc09ff93b5849da87dd53e89163988b2023-10-28T05:06:39ZengElsevierMaterials & Design0264-12752023-10-01234112367Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applicationsWanxuan Xie0Yang Zhong1Dehui Wang2Lun Zhong3Lu Han4Qiongfen Yang5Wenjing Jie6College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, ChinaCollege of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, ChinaCollege of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, ChinaCollege of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, ChinaCollege of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, ChinaCorresponding authors.; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, ChinaCorresponding authors.; College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, ChinaThe emulation of the biological synapses is essential for brain-inspired computing which is expected to overcome the traditional von Neumann bottleneck. Thus, synaptic memristor with analog resistive switching (RS) is highly desirable in non-volatile memristors for future neuromorphic computing. Herein, the co-existence of digital and analog RS can be observed in two-dimensional (2D) layered BiOI nanosheets sandwiched by the top and bottom Pt electrodes. The vertical Pt/BiOI/Pt memristors demonstrate typical bipolar RS behaviors with a large ON/OFF ratio of 1.0 × 103 and long retention time up to 1.6 × 104 s under a relatively large operation voltage. When the operation voltages are reduced to 1 V, analog RS behaviors with a series of tunable resistance states can be observed. The adjustable resistance states can be utilized to emulate “learning-forgetting” experience of human brain. Repeatable long-term potentiation (LTP) and long-term depression (LTD) cycles can be implemented based on the synaptic memristors, which can be used for simulation of artificial neural network for image recognition with accuracy up to 91.15 %. Moreover, Pavlov’s dog experiment is successfully emulated based on the synaptic memristors. This study suggests good prospects of the synaptic memristors based on BiOI nanosheets for future neuromorphic computing.http://www.sciencedirect.com/science/article/pii/S0264127523007827Two-dimensional materialsBismuth oxyiodideMemristorsResistive switchingSynapses
spellingShingle Wanxuan Xie
Yang Zhong
Dehui Wang
Lun Zhong
Lu Han
Qiongfen Yang
Wenjing Jie
Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications
Materials & Design
Two-dimensional materials
Bismuth oxyiodide
Memristors
Resistive switching
Synapses
title Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications
title_full Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications
title_fullStr Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications
title_full_unstemmed Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications
title_short Co-existence of digital and analog resistive switching in 2D layered BiOI nanosheets for synaptic applications
title_sort co existence of digital and analog resistive switching in 2d layered bioi nanosheets for synaptic applications
topic Two-dimensional materials
Bismuth oxyiodide
Memristors
Resistive switching
Synapses
url http://www.sciencedirect.com/science/article/pii/S0264127523007827
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