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Real-time numerical system convertor via two-dimensional WS(2)-based memristive device
The intriguing properties of two-dimensional (2D) transition metal dichalcogenides (TMDCs) enable the exploration of new electronic device architectures, particularly the emerging memristive devices for in-memory computing applications. Implementation of arithmetic logic operations taking advantage...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517377/ https://www.ncbi.nlm.nih.gov/pubmed/36185713 http://dx.doi.org/10.3389/fncom.2022.1015945 |
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author | Xin, Xing Sun, Liyao Chen, Jiamei Bao, Youzhe Tao, Ye Lin, Ya Bian, Jingyao Wang, Zhongqiang Zhao, Xiaoning Xu, Haiyang Liu, Yichun |
author_facet | Xin, Xing Sun, Liyao Chen, Jiamei Bao, Youzhe Tao, Ye Lin, Ya Bian, Jingyao Wang, Zhongqiang Zhao, Xiaoning Xu, Haiyang Liu, Yichun |
author_sort | Xin, Xing |
collection | PubMed |
description | The intriguing properties of two-dimensional (2D) transition metal dichalcogenides (TMDCs) enable the exploration of new electronic device architectures, particularly the emerging memristive devices for in-memory computing applications. Implementation of arithmetic logic operations taking advantage of the non-linear characteristics of memristor can significantly improve the energy efficiency and simplify the complexity of peripheral circuits. Herein, we demonstrate an arithmetic logic unit function using a lateral volatile memristor based on layered 2D tungsten disulfide (WS(2)) materials and some combinational logic circuits. Removable oxygen ions were introduced into WS(2) materials through oxygen plasma treatment process. The resistive switching of the memristive device caused by the thermophoresis-assisted oxygen ions migration has also been revealed. Based on the characteristics of excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and spike rate dependent plasticity (SRDP), a real-time numerical system convertor was successfully accomplished, which is a significant computing function of arithmetic logic unit. This work paves a new way for developing 2D memristive devices for future arithmetic logic applications. |
format | Online Article Text |
id | pubmed-9517377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95173772022-09-29 Real-time numerical system convertor via two-dimensional WS(2)-based memristive device Xin, Xing Sun, Liyao Chen, Jiamei Bao, Youzhe Tao, Ye Lin, Ya Bian, Jingyao Wang, Zhongqiang Zhao, Xiaoning Xu, Haiyang Liu, Yichun Front Comput Neurosci Computational Neuroscience The intriguing properties of two-dimensional (2D) transition metal dichalcogenides (TMDCs) enable the exploration of new electronic device architectures, particularly the emerging memristive devices for in-memory computing applications. Implementation of arithmetic logic operations taking advantage of the non-linear characteristics of memristor can significantly improve the energy efficiency and simplify the complexity of peripheral circuits. Herein, we demonstrate an arithmetic logic unit function using a lateral volatile memristor based on layered 2D tungsten disulfide (WS(2)) materials and some combinational logic circuits. Removable oxygen ions were introduced into WS(2) materials through oxygen plasma treatment process. The resistive switching of the memristive device caused by the thermophoresis-assisted oxygen ions migration has also been revealed. Based on the characteristics of excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and spike rate dependent plasticity (SRDP), a real-time numerical system convertor was successfully accomplished, which is a significant computing function of arithmetic logic unit. This work paves a new way for developing 2D memristive devices for future arithmetic logic applications. Frontiers Media S.A. 2022-09-14 /pmc/articles/PMC9517377/ /pubmed/36185713 http://dx.doi.org/10.3389/fncom.2022.1015945 Text en Copyright © 2022 Xin, Sun, Chen, Bao, Tao, Lin, Bian, Wang, Zhao, Xu and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Computational Neuroscience Xin, Xing Sun, Liyao Chen, Jiamei Bao, Youzhe Tao, Ye Lin, Ya Bian, Jingyao Wang, Zhongqiang Zhao, Xiaoning Xu, Haiyang Liu, Yichun Real-time numerical system convertor via two-dimensional WS(2)-based memristive device |
title | Real-time numerical system convertor via two-dimensional WS(2)-based memristive device |
title_full | Real-time numerical system convertor via two-dimensional WS(2)-based memristive device |
title_fullStr | Real-time numerical system convertor via two-dimensional WS(2)-based memristive device |
title_full_unstemmed | Real-time numerical system convertor via two-dimensional WS(2)-based memristive device |
title_short | Real-time numerical system convertor via two-dimensional WS(2)-based memristive device |
title_sort | real-time numerical system convertor via two-dimensional ws(2)-based memristive device |
topic | Computational Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517377/ https://www.ncbi.nlm.nih.gov/pubmed/36185713 http://dx.doi.org/10.3389/fncom.2022.1015945 |
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