Recent advances in memristors based on two-dimensional ferroelectric materials

In this big data era, the explosive growth of information puts ultra-high demands on the data storage/computing, such as high computing power, low energy consumption, and excellent stability. However, facing this challenge, the traditional von Neumann architecture-based computing system is out of it...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Frontiers of physics 2024-02, Vol.19 (1), p.13402, Article 13402
Hauptverfasser: Niu, Wenbiao, Ding, Guanglong, Jia, Ziqi, Ma, Xin-Qi, Zhao, JiYu, Zhou, Kui, Han, Su-Ting, Kuo, Chi-Ching, Zhou, Ye
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 13402
container_title Frontiers of physics
container_volume 19
creator Niu, Wenbiao
Ding, Guanglong
Jia, Ziqi
Ma, Xin-Qi
Zhao, JiYu
Zhou, Kui
Han, Su-Ting
Kuo, Chi-Ching
Zhou, Ye
description In this big data era, the explosive growth of information puts ultra-high demands on the data storage/computing, such as high computing power, low energy consumption, and excellent stability. However, facing this challenge, the traditional von Neumann architecture-based computing system is out of its depth owing to the separated memory and data processing unit architecture. One of the most effective ways to solve this challenge is building brain inspired computing system with in-memory computing and parallel processing ability based on neuromorphic devices. Therefore, there is a research trend toward the memristors, that can be applied to build neuromorphic computing systems due to their large switching ratio, high storage density, low power consumption, and high stability. Two-dimensional (2D) ferroelectric materials, as novel types of functional materials, show great potential in the preparations of memristors because of the atomic scale thickness, high carrier mobility, mechanical flexibility, and thermal stability. 2D ferroelectric materials can realize resistive switching (RS) because of the presence of natural dipoles whose direction can be flipped with the change of the applied electric field thus producing different polarizations, therefore, making them powerful candidates for future data storage and computing. In this review article, we introduce the physical mechanisms, characterizations, and synthetic methods of 2D ferroelectric materials, and then summarize the applications of 2D ferroelectric materials in memristors for memory and synaptic devices. At last, we deliberate the advantages and future challenges of 2D ferroelectric materials in the application of memristors devices.
doi_str_mv 10.1007/s11467-023-1329-8
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2918648049</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2918648049</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-5b1c51b2a83e090339e62d0df375422a938ba9a5a78e3eb6deb7c67333aa2df83</originalsourceid><addsrcrecordid>eNp9kE1Lw0AQhoMoWGp_gLcFz6v7kWQ3Ryl-gSiInpdNMmm3NLt1JlX896ZE9OZpZuB9XoYny86luJRCmCuSMi8NF0pzqVXF7VE2U6IquMiNOP7dS3WaLYg2QggpTT7es-zpBRqIA_Pth48NEAuR9dBjoCEhsdoTtCxFNnwm3oYeIoUU_ZZ1gJhgC82AoWG9HwCD39JZdtKNAxY_c5693d68Lu_54_Pdw_L6kTe6LAZe1LIpZK281SAqoXUFpWpF22lT5Er5StvaV77wxoKGumyhNk1ptNbeq7azep5dTL07TO97oMFt0h7Hx8ipStoytyKvxpScUg0mIoTO7TD0Hr-cFO5gzk3m3GjOHcy5Q7OaGBqzcQX41_wfZCdoHVZrQGh3CESuwxSHAPgf-g3RcYNA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2918648049</pqid></control><display><type>article</type><title>Recent advances in memristors based on two-dimensional ferroelectric materials</title><source>SpringerLink Journals - AutoHoldings</source><creator>Niu, Wenbiao ; Ding, Guanglong ; Jia, Ziqi ; Ma, Xin-Qi ; Zhao, JiYu ; Zhou, Kui ; Han, Su-Ting ; Kuo, Chi-Ching ; Zhou, Ye</creator><creatorcontrib>Niu, Wenbiao ; Ding, Guanglong ; Jia, Ziqi ; Ma, Xin-Qi ; Zhao, JiYu ; Zhou, Kui ; Han, Su-Ting ; Kuo, Chi-Ching ; Zhou, Ye</creatorcontrib><description>In this big data era, the explosive growth of information puts ultra-high demands on the data storage/computing, such as high computing power, low energy consumption, and excellent stability. However, facing this challenge, the traditional von Neumann architecture-based computing system is out of its depth owing to the separated memory and data processing unit architecture. One of the most effective ways to solve this challenge is building brain inspired computing system with in-memory computing and parallel processing ability based on neuromorphic devices. Therefore, there is a research trend toward the memristors, that can be applied to build neuromorphic computing systems due to their large switching ratio, high storage density, low power consumption, and high stability. Two-dimensional (2D) ferroelectric materials, as novel types of functional materials, show great potential in the preparations of memristors because of the atomic scale thickness, high carrier mobility, mechanical flexibility, and thermal stability. 2D ferroelectric materials can realize resistive switching (RS) because of the presence of natural dipoles whose direction can be flipped with the change of the applied electric field thus producing different polarizations, therefore, making them powerful candidates for future data storage and computing. In this review article, we introduce the physical mechanisms, characterizations, and synthetic methods of 2D ferroelectric materials, and then summarize the applications of 2D ferroelectric materials in memristors for memory and synaptic devices. At last, we deliberate the advantages and future challenges of 2D ferroelectric materials in the application of memristors devices.</description><identifier>ISSN: 2095-0462</identifier><identifier>EISSN: 2095-0470</identifier><identifier>DOI: 10.1007/s11467-023-1329-8</identifier><language>eng</language><publisher>Beijing: Higher Education Press</publisher><subject>artificial synapses ; Astronomy ; Astrophysics and Cosmology ; Atomic ; Big Data ; Carrier mobility ; Computer architecture ; Condensed Matter Physics ; Data processing ; Data storage ; Dimensional stability ; Dipoles ; Electric fields ; Energy consumption ; Ferroelectric materials ; Ferroelectricity ; Functional materials ; Mechanisms and Applications of Memristors ; Memory devices ; Memristors ; Molecular ; Neuromorphic computing ; Optical and Plasma Physics ; Parallel processing ; Particle and Nuclear Physics ; Physics ; Physics and Astronomy ; Power consumption ; Power management ; Special Topic: Materials ; Switching ; synthesis strategies ; Thermal stability ; Topical Review ; two-dimensional ferroelectric materials</subject><ispartof>Frontiers of physics, 2024-02, Vol.19 (1), p.13402, Article 13402</ispartof><rights>Copyright reserved, 2023, Higher Education Press</rights><rights>Higher Education Press 2023</rights><rights>Higher Education Press 2023.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-5b1c51b2a83e090339e62d0df375422a938ba9a5a78e3eb6deb7c67333aa2df83</citedby><cites>FETCH-LOGICAL-c365t-5b1c51b2a83e090339e62d0df375422a938ba9a5a78e3eb6deb7c67333aa2df83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11467-023-1329-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11467-023-1329-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Niu, Wenbiao</creatorcontrib><creatorcontrib>Ding, Guanglong</creatorcontrib><creatorcontrib>Jia, Ziqi</creatorcontrib><creatorcontrib>Ma, Xin-Qi</creatorcontrib><creatorcontrib>Zhao, JiYu</creatorcontrib><creatorcontrib>Zhou, Kui</creatorcontrib><creatorcontrib>Han, Su-Ting</creatorcontrib><creatorcontrib>Kuo, Chi-Ching</creatorcontrib><creatorcontrib>Zhou, Ye</creatorcontrib><title>Recent advances in memristors based on two-dimensional ferroelectric materials</title><title>Frontiers of physics</title><addtitle>Front. Phys</addtitle><description>In this big data era, the explosive growth of information puts ultra-high demands on the data storage/computing, such as high computing power, low energy consumption, and excellent stability. However, facing this challenge, the traditional von Neumann architecture-based computing system is out of its depth owing to the separated memory and data processing unit architecture. One of the most effective ways to solve this challenge is building brain inspired computing system with in-memory computing and parallel processing ability based on neuromorphic devices. Therefore, there is a research trend toward the memristors, that can be applied to build neuromorphic computing systems due to their large switching ratio, high storage density, low power consumption, and high stability. Two-dimensional (2D) ferroelectric materials, as novel types of functional materials, show great potential in the preparations of memristors because of the atomic scale thickness, high carrier mobility, mechanical flexibility, and thermal stability. 2D ferroelectric materials can realize resistive switching (RS) because of the presence of natural dipoles whose direction can be flipped with the change of the applied electric field thus producing different polarizations, therefore, making them powerful candidates for future data storage and computing. In this review article, we introduce the physical mechanisms, characterizations, and synthetic methods of 2D ferroelectric materials, and then summarize the applications of 2D ferroelectric materials in memristors for memory and synaptic devices. At last, we deliberate the advantages and future challenges of 2D ferroelectric materials in the application of memristors devices.</description><subject>artificial synapses</subject><subject>Astronomy</subject><subject>Astrophysics and Cosmology</subject><subject>Atomic</subject><subject>Big Data</subject><subject>Carrier mobility</subject><subject>Computer architecture</subject><subject>Condensed Matter Physics</subject><subject>Data processing</subject><subject>Data storage</subject><subject>Dimensional stability</subject><subject>Dipoles</subject><subject>Electric fields</subject><subject>Energy consumption</subject><subject>Ferroelectric materials</subject><subject>Ferroelectricity</subject><subject>Functional materials</subject><subject>Mechanisms and Applications of Memristors</subject><subject>Memory devices</subject><subject>Memristors</subject><subject>Molecular</subject><subject>Neuromorphic computing</subject><subject>Optical and Plasma Physics</subject><subject>Parallel processing</subject><subject>Particle and Nuclear Physics</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Power consumption</subject><subject>Power management</subject><subject>Special Topic: Materials</subject><subject>Switching</subject><subject>synthesis strategies</subject><subject>Thermal stability</subject><subject>Topical Review</subject><subject>two-dimensional ferroelectric materials</subject><issn>2095-0462</issn><issn>2095-0470</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1Lw0AQhoMoWGp_gLcFz6v7kWQ3Ryl-gSiInpdNMmm3NLt1JlX896ZE9OZpZuB9XoYny86luJRCmCuSMi8NF0pzqVXF7VE2U6IquMiNOP7dS3WaLYg2QggpTT7es-zpBRqIA_Pth48NEAuR9dBjoCEhsdoTtCxFNnwm3oYeIoUU_ZZ1gJhgC82AoWG9HwCD39JZdtKNAxY_c5693d68Lu_54_Pdw_L6kTe6LAZe1LIpZK281SAqoXUFpWpF22lT5Er5StvaV77wxoKGumyhNk1ptNbeq7azep5dTL07TO97oMFt0h7Hx8ipStoytyKvxpScUg0mIoTO7TD0Hr-cFO5gzk3m3GjOHcy5Q7OaGBqzcQX41_wfZCdoHVZrQGh3CESuwxSHAPgf-g3RcYNA</recordid><startdate>20240201</startdate><enddate>20240201</enddate><creator>Niu, Wenbiao</creator><creator>Ding, Guanglong</creator><creator>Jia, Ziqi</creator><creator>Ma, Xin-Qi</creator><creator>Zhao, JiYu</creator><creator>Zhou, Kui</creator><creator>Han, Su-Ting</creator><creator>Kuo, Chi-Ching</creator><creator>Zhou, Ye</creator><general>Higher Education Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20240201</creationdate><title>Recent advances in memristors based on two-dimensional ferroelectric materials</title><author>Niu, Wenbiao ; Ding, Guanglong ; Jia, Ziqi ; Ma, Xin-Qi ; Zhao, JiYu ; Zhou, Kui ; Han, Su-Ting ; Kuo, Chi-Ching ; Zhou, Ye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-5b1c51b2a83e090339e62d0df375422a938ba9a5a78e3eb6deb7c67333aa2df83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>artificial synapses</topic><topic>Astronomy</topic><topic>Astrophysics and Cosmology</topic><topic>Atomic</topic><topic>Big Data</topic><topic>Carrier mobility</topic><topic>Computer architecture</topic><topic>Condensed Matter Physics</topic><topic>Data processing</topic><topic>Data storage</topic><topic>Dimensional stability</topic><topic>Dipoles</topic><topic>Electric fields</topic><topic>Energy consumption</topic><topic>Ferroelectric materials</topic><topic>Ferroelectricity</topic><topic>Functional materials</topic><topic>Mechanisms and Applications of Memristors</topic><topic>Memory devices</topic><topic>Memristors</topic><topic>Molecular</topic><topic>Neuromorphic computing</topic><topic>Optical and Plasma Physics</topic><topic>Parallel processing</topic><topic>Particle and Nuclear Physics</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Power consumption</topic><topic>Power management</topic><topic>Special Topic: Materials</topic><topic>Switching</topic><topic>synthesis strategies</topic><topic>Thermal stability</topic><topic>Topical Review</topic><topic>two-dimensional ferroelectric materials</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Niu, Wenbiao</creatorcontrib><creatorcontrib>Ding, Guanglong</creatorcontrib><creatorcontrib>Jia, Ziqi</creatorcontrib><creatorcontrib>Ma, Xin-Qi</creatorcontrib><creatorcontrib>Zhao, JiYu</creatorcontrib><creatorcontrib>Zhou, Kui</creatorcontrib><creatorcontrib>Han, Su-Ting</creatorcontrib><creatorcontrib>Kuo, Chi-Ching</creatorcontrib><creatorcontrib>Zhou, Ye</creatorcontrib><collection>CrossRef</collection><jtitle>Frontiers of physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Niu, Wenbiao</au><au>Ding, Guanglong</au><au>Jia, Ziqi</au><au>Ma, Xin-Qi</au><au>Zhao, JiYu</au><au>Zhou, Kui</au><au>Han, Su-Ting</au><au>Kuo, Chi-Ching</au><au>Zhou, Ye</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Recent advances in memristors based on two-dimensional ferroelectric materials</atitle><jtitle>Frontiers of physics</jtitle><stitle>Front. Phys</stitle><date>2024-02-01</date><risdate>2024</risdate><volume>19</volume><issue>1</issue><spage>13402</spage><pages>13402-</pages><artnum>13402</artnum><issn>2095-0462</issn><eissn>2095-0470</eissn><abstract>In this big data era, the explosive growth of information puts ultra-high demands on the data storage/computing, such as high computing power, low energy consumption, and excellent stability. However, facing this challenge, the traditional von Neumann architecture-based computing system is out of its depth owing to the separated memory and data processing unit architecture. One of the most effective ways to solve this challenge is building brain inspired computing system with in-memory computing and parallel processing ability based on neuromorphic devices. Therefore, there is a research trend toward the memristors, that can be applied to build neuromorphic computing systems due to their large switching ratio, high storage density, low power consumption, and high stability. Two-dimensional (2D) ferroelectric materials, as novel types of functional materials, show great potential in the preparations of memristors because of the atomic scale thickness, high carrier mobility, mechanical flexibility, and thermal stability. 2D ferroelectric materials can realize resistive switching (RS) because of the presence of natural dipoles whose direction can be flipped with the change of the applied electric field thus producing different polarizations, therefore, making them powerful candidates for future data storage and computing. In this review article, we introduce the physical mechanisms, characterizations, and synthetic methods of 2D ferroelectric materials, and then summarize the applications of 2D ferroelectric materials in memristors for memory and synaptic devices. At last, we deliberate the advantages and future challenges of 2D ferroelectric materials in the application of memristors devices.</abstract><cop>Beijing</cop><pub>Higher Education Press</pub><doi>10.1007/s11467-023-1329-8</doi></addata></record>
fulltext fulltext
identifier ISSN: 2095-0462
ispartof Frontiers of physics, 2024-02, Vol.19 (1), p.13402, Article 13402
issn 2095-0462
2095-0470
language eng
recordid cdi_proquest_journals_2918648049
source SpringerLink Journals - AutoHoldings
subjects artificial synapses
Astronomy
Astrophysics and Cosmology
Atomic
Big Data
Carrier mobility
Computer architecture
Condensed Matter Physics
Data processing
Data storage
Dimensional stability
Dipoles
Electric fields
Energy consumption
Ferroelectric materials
Ferroelectricity
Functional materials
Mechanisms and Applications of Memristors
Memory devices
Memristors
Molecular
Neuromorphic computing
Optical and Plasma Physics
Parallel processing
Particle and Nuclear Physics
Physics
Physics and Astronomy
Power consumption
Power management
Special Topic: Materials
Switching
synthesis strategies
Thermal stability
Topical Review
two-dimensional ferroelectric materials
title Recent advances in memristors based on two-dimensional ferroelectric materials
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T17%3A40%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Recent%20advances%20in%20memristors%20based%20on%20two-dimensional%20ferroelectric%20materials&rft.jtitle=Frontiers%20of%20physics&rft.au=Niu,%20Wenbiao&rft.date=2024-02-01&rft.volume=19&rft.issue=1&rft.spage=13402&rft.pages=13402-&rft.artnum=13402&rft.issn=2095-0462&rft.eissn=2095-0470&rft_id=info:doi/10.1007/s11467-023-1329-8&rft_dat=%3Cproquest_cross%3E2918648049%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2918648049&rft_id=info:pmid/&rfr_iscdi=true