Laterally Coupled 2D MoS2 Synaptic Transistor With Ion Gating

The dynamically active synaptic elements are the fundamental building blocks in neuromorphic systems towards artificial intelligence with computing and sensing capabilities. Here, a two-dimensional (2D) MoS 2 synaptic transistor is fabricated by using poly(ethylene oxide) (PEO) and lithium perchlora...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE electron device letters 2020-09, Vol.41 (9), p.1424-1427
Hauptverfasser: Wang, Yarong, Yang, Yafen, He, Zhenyu, Zhu, Hao, Chen, Lin, Sun, Qingqing, Zhang, David Wei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1427
container_issue 9
container_start_page 1424
container_title IEEE electron device letters
container_volume 41
creator Wang, Yarong
Yang, Yafen
He, Zhenyu
Zhu, Hao
Chen, Lin
Sun, Qingqing
Zhang, David Wei
description The dynamically active synaptic elements are the fundamental building blocks in neuromorphic systems towards artificial intelligence with computing and sensing capabilities. Here, a two-dimensional (2D) MoS 2 synaptic transistor is fabricated by using poly(ethylene oxide) (PEO) and lithium perchlorate (LiClO 4 ) as a laterally coupled ion-conducting electrolyte. Due to the strong electric double layer (EDL) effect, a low operating voltage of 1 V and a high current on/off ratio of 10 5 have been obtained. In addition, short-term and long-term plasticity of typical synaptic behaviors have been successfully simulated, such as excitatory postsynaptic current, paired pulse facilitation long-term potentiation, long-term depression, and dynamic filtering. These results can provide new opportunities and strategies in building hybrid and low-dimensional neuromorphic systems for future artificial intelligence applications.
doi_str_mv 10.1109/LED.2020.3008728
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2438691760</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9139353</ieee_id><sourcerecordid>2438691760</sourcerecordid><originalsourceid>FETCH-LOGICAL-i133t-107a4ffb87f5d5985c315fde664356706b4f2c4b9c573366f312c4b0faf1d6ce3</originalsourceid><addsrcrecordid>eNotjU1Lw0AURQdRsFb3gpsB16nvzZuPZOFC2loLERetuAzTZEZTYhInk0X_vZW6Olw43MPYLcIMEbKHfLmYCRAwI4DUiPSMTVCpNAGl6ZxNwEhMCEFfsqth2AOglEZO2GNuowu2aQ583o194youFvy12wi-ObS2j3XJt8G2Qz3ELvCPOn7xddfylY11-3nNLrxtBnfzzyl7f15u5y9J_rZaz5_ypEaimCAYK73fpcarSmWpKgmVr5zWkpQ2oHfSi1LuslIZIq094d8Ebz1WunQ0Zfen3z50P6MbYrHvxtAek4WQlOoMjYajdXeyaudc0Yf624ZDkSFlpIh-ASruUbE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2438691760</pqid></control><display><type>article</type><title>Laterally Coupled 2D MoS2 Synaptic Transistor With Ion Gating</title><source>IEEE Electronic Library (IEL)</source><creator>Wang, Yarong ; Yang, Yafen ; He, Zhenyu ; Zhu, Hao ; Chen, Lin ; Sun, Qingqing ; Zhang, David Wei</creator><creatorcontrib>Wang, Yarong ; Yang, Yafen ; He, Zhenyu ; Zhu, Hao ; Chen, Lin ; Sun, Qingqing ; Zhang, David Wei</creatorcontrib><description>The dynamically active synaptic elements are the fundamental building blocks in neuromorphic systems towards artificial intelligence with computing and sensing capabilities. Here, a two-dimensional (2D) MoS 2 synaptic transistor is fabricated by using poly(ethylene oxide) (PEO) and lithium perchlorate (LiClO 4 ) as a laterally coupled ion-conducting electrolyte. Due to the strong electric double layer (EDL) effect, a low operating voltage of 1 V and a high current on/off ratio of 10 5 have been obtained. In addition, short-term and long-term plasticity of typical synaptic behaviors have been successfully simulated, such as excitatory postsynaptic current, paired pulse facilitation long-term potentiation, long-term depression, and dynamic filtering. These results can provide new opportunities and strategies in building hybrid and low-dimensional neuromorphic systems for future artificial intelligence applications.</description><identifier>ISSN: 0741-3106</identifier><identifier>EISSN: 1558-0563</identifier><identifier>DOI: 10.1109/LED.2020.3008728</identifier><identifier>CODEN: EDLEDZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Artificial intelligence ; Computer simulation ; Electric double layer ; Ethylene oxide ; Hybrid systems ; ion conduction ; laterally coupling ; Lithium perchlorates ; Molybdenum disulfide ; Polyethylene oxide ; Semiconductor devices ; short-term and long-term plasticity ; Synaptic transistor ; Transistors</subject><ispartof>IEEE electron device letters, 2020-09, Vol.41 (9), p.1424-1427</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-6533-1834 ; 0000-0003-3890-6871 ; 0000-0002-5742-1207 ; 0000-0002-0785-9446 ; 0000-0002-7145-7564</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9139353$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9139353$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wang, Yarong</creatorcontrib><creatorcontrib>Yang, Yafen</creatorcontrib><creatorcontrib>He, Zhenyu</creatorcontrib><creatorcontrib>Zhu, Hao</creatorcontrib><creatorcontrib>Chen, Lin</creatorcontrib><creatorcontrib>Sun, Qingqing</creatorcontrib><creatorcontrib>Zhang, David Wei</creatorcontrib><title>Laterally Coupled 2D MoS2 Synaptic Transistor With Ion Gating</title><title>IEEE electron device letters</title><addtitle>LED</addtitle><description>The dynamically active synaptic elements are the fundamental building blocks in neuromorphic systems towards artificial intelligence with computing and sensing capabilities. Here, a two-dimensional (2D) MoS 2 synaptic transistor is fabricated by using poly(ethylene oxide) (PEO) and lithium perchlorate (LiClO 4 ) as a laterally coupled ion-conducting electrolyte. Due to the strong electric double layer (EDL) effect, a low operating voltage of 1 V and a high current on/off ratio of 10 5 have been obtained. In addition, short-term and long-term plasticity of typical synaptic behaviors have been successfully simulated, such as excitatory postsynaptic current, paired pulse facilitation long-term potentiation, long-term depression, and dynamic filtering. These results can provide new opportunities and strategies in building hybrid and low-dimensional neuromorphic systems for future artificial intelligence applications.</description><subject>Artificial intelligence</subject><subject>Computer simulation</subject><subject>Electric double layer</subject><subject>Ethylene oxide</subject><subject>Hybrid systems</subject><subject>ion conduction</subject><subject>laterally coupling</subject><subject>Lithium perchlorates</subject><subject>Molybdenum disulfide</subject><subject>Polyethylene oxide</subject><subject>Semiconductor devices</subject><subject>short-term and long-term plasticity</subject><subject>Synaptic transistor</subject><subject>Transistors</subject><issn>0741-3106</issn><issn>1558-0563</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNotjU1Lw0AURQdRsFb3gpsB16nvzZuPZOFC2loLERetuAzTZEZTYhInk0X_vZW6Olw43MPYLcIMEbKHfLmYCRAwI4DUiPSMTVCpNAGl6ZxNwEhMCEFfsqth2AOglEZO2GNuowu2aQ583o194youFvy12wi-ObS2j3XJt8G2Qz3ELvCPOn7xddfylY11-3nNLrxtBnfzzyl7f15u5y9J_rZaz5_ypEaimCAYK73fpcarSmWpKgmVr5zWkpQ2oHfSi1LuslIZIq094d8Ebz1WunQ0Zfen3z50P6MbYrHvxtAek4WQlOoMjYajdXeyaudc0Yf624ZDkSFlpIh-ASruUbE</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Wang, Yarong</creator><creator>Yang, Yafen</creator><creator>He, Zhenyu</creator><creator>Zhu, Hao</creator><creator>Chen, Lin</creator><creator>Sun, Qingqing</creator><creator>Zhang, David Wei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-6533-1834</orcidid><orcidid>https://orcid.org/0000-0003-3890-6871</orcidid><orcidid>https://orcid.org/0000-0002-5742-1207</orcidid><orcidid>https://orcid.org/0000-0002-0785-9446</orcidid><orcidid>https://orcid.org/0000-0002-7145-7564</orcidid></search><sort><creationdate>20200901</creationdate><title>Laterally Coupled 2D MoS2 Synaptic Transistor With Ion Gating</title><author>Wang, Yarong ; Yang, Yafen ; He, Zhenyu ; Zhu, Hao ; Chen, Lin ; Sun, Qingqing ; Zhang, David Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i133t-107a4ffb87f5d5985c315fde664356706b4f2c4b9c573366f312c4b0faf1d6ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Artificial intelligence</topic><topic>Computer simulation</topic><topic>Electric double layer</topic><topic>Ethylene oxide</topic><topic>Hybrid systems</topic><topic>ion conduction</topic><topic>laterally coupling</topic><topic>Lithium perchlorates</topic><topic>Molybdenum disulfide</topic><topic>Polyethylene oxide</topic><topic>Semiconductor devices</topic><topic>short-term and long-term plasticity</topic><topic>Synaptic transistor</topic><topic>Transistors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yarong</creatorcontrib><creatorcontrib>Yang, Yafen</creatorcontrib><creatorcontrib>He, Zhenyu</creatorcontrib><creatorcontrib>Zhu, Hao</creatorcontrib><creatorcontrib>Chen, Lin</creatorcontrib><creatorcontrib>Sun, Qingqing</creatorcontrib><creatorcontrib>Zhang, David Wei</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE electron device letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang, Yarong</au><au>Yang, Yafen</au><au>He, Zhenyu</au><au>Zhu, Hao</au><au>Chen, Lin</au><au>Sun, Qingqing</au><au>Zhang, David Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Laterally Coupled 2D MoS2 Synaptic Transistor With Ion Gating</atitle><jtitle>IEEE electron device letters</jtitle><stitle>LED</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>41</volume><issue>9</issue><spage>1424</spage><epage>1427</epage><pages>1424-1427</pages><issn>0741-3106</issn><eissn>1558-0563</eissn><coden>EDLEDZ</coden><abstract>The dynamically active synaptic elements are the fundamental building blocks in neuromorphic systems towards artificial intelligence with computing and sensing capabilities. Here, a two-dimensional (2D) MoS 2 synaptic transistor is fabricated by using poly(ethylene oxide) (PEO) and lithium perchlorate (LiClO 4 ) as a laterally coupled ion-conducting electrolyte. Due to the strong electric double layer (EDL) effect, a low operating voltage of 1 V and a high current on/off ratio of 10 5 have been obtained. In addition, short-term and long-term plasticity of typical synaptic behaviors have been successfully simulated, such as excitatory postsynaptic current, paired pulse facilitation long-term potentiation, long-term depression, and dynamic filtering. These results can provide new opportunities and strategies in building hybrid and low-dimensional neuromorphic systems for future artificial intelligence applications.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LED.2020.3008728</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-6533-1834</orcidid><orcidid>https://orcid.org/0000-0003-3890-6871</orcidid><orcidid>https://orcid.org/0000-0002-5742-1207</orcidid><orcidid>https://orcid.org/0000-0002-0785-9446</orcidid><orcidid>https://orcid.org/0000-0002-7145-7564</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0741-3106
ispartof IEEE electron device letters, 2020-09, Vol.41 (9), p.1424-1427
issn 0741-3106
1558-0563
language eng
recordid cdi_proquest_journals_2438691760
source IEEE Electronic Library (IEL)
subjects Artificial intelligence
Computer simulation
Electric double layer
Ethylene oxide
Hybrid systems
ion conduction
laterally coupling
Lithium perchlorates
Molybdenum disulfide
Polyethylene oxide
Semiconductor devices
short-term and long-term plasticity
Synaptic transistor
Transistors
title Laterally Coupled 2D MoS2 Synaptic Transistor With Ion Gating
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T01%3A12%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Laterally%20Coupled%202D%20MoS2%20Synaptic%20Transistor%20With%20Ion%20Gating&rft.jtitle=IEEE%20electron%20device%20letters&rft.au=Wang,%20Yarong&rft.date=2020-09-01&rft.volume=41&rft.issue=9&rft.spage=1424&rft.epage=1427&rft.pages=1424-1427&rft.issn=0741-3106&rft.eissn=1558-0563&rft.coden=EDLEDZ&rft_id=info:doi/10.1109/LED.2020.3008728&rft_dat=%3Cproquest_RIE%3E2438691760%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2438691760&rft_id=info:pmid/&rft_ieee_id=9139353&rfr_iscdi=true