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...
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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 |
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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 ; 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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. 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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 |
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