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The application of halide perovskites in memristors
New neuromorphic architectures and memory technologies with low power consumption, scalability and high-speed are in the spotlight due to the von Neumann bottleneck and limitations of Moore's law. The memristor, a two-terminal synaptic device, shows powerful capabilities in neuromorphic computi...
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Published in: | Journal of semiconductors 2020-05, Vol.41 (5), p.51205-62 |
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container_title | Journal of semiconductors |
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creator | Cao, Gang Cheng, Chuantong Zhang, Hengjie Zhang, Huan Chen, Run Huang, Beiju Yan, Xiaobing Pei, Weihua Chen, Hongda |
description | New neuromorphic architectures and memory technologies with low power consumption, scalability and high-speed are in the spotlight due to the von Neumann bottleneck and limitations of Moore's law. The memristor, a two-terminal synaptic device, shows powerful capabilities in neuromorphic computing and information storage applications. Active materials with high defect migration speed and low defect migration barrier are highly promising for high-performance memristors. Halide perovskite (HP) materials with point defects (such as gaps, vacancies, and inversions) have strong application potential in memristors. In this article, we review recent advances on HP memristors with exceptional performances. First, the working mechanisms of memristors are described. Then, the structures and properties of HPs are explained. Both electrical and photonic HP-based memristors are overviewed and discussed. Different fabrication methods of HP memristor devices and arrays are described and compared. Finally, the challenges in integrating HP memristors with complementary metal oxide semiconductors (CMOS) are briefly discussed. This review can assist in developing HP memristors for the next-generation information technology. |
doi_str_mv | 10.1088/1674-4926/41/5/051205 |
format | article |
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The memristor, a two-terminal synaptic device, shows powerful capabilities in neuromorphic computing and information storage applications. Active materials with high defect migration speed and low defect migration barrier are highly promising for high-performance memristors. Halide perovskite (HP) materials with point defects (such as gaps, vacancies, and inversions) have strong application potential in memristors. In this article, we review recent advances on HP memristors with exceptional performances. First, the working mechanisms of memristors are described. Then, the structures and properties of HPs are explained. Both electrical and photonic HP-based memristors are overviewed and discussed. Different fabrication methods of HP memristor devices and arrays are described and compared. Finally, the challenges in integrating HP memristors with complementary metal oxide semiconductors (CMOS) are briefly discussed. 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Semicond</addtitle><description>New neuromorphic architectures and memory technologies with low power consumption, scalability and high-speed are in the spotlight due to the von Neumann bottleneck and limitations of Moore's law. The memristor, a two-terminal synaptic device, shows powerful capabilities in neuromorphic computing and information storage applications. Active materials with high defect migration speed and low defect migration barrier are highly promising for high-performance memristors. Halide perovskite (HP) materials with point defects (such as gaps, vacancies, and inversions) have strong application potential in memristors. In this article, we review recent advances on HP memristors with exceptional performances. First, the working mechanisms of memristors are described. Then, the structures and properties of HPs are explained. Both electrical and photonic HP-based memristors are overviewed and discussed. Different fabrication methods of HP memristor devices and arrays are described and compared. Finally, the challenges in integrating HP memristors with complementary metal oxide semiconductors (CMOS) are briefly discussed. This review can assist in developing HP memristors for the next-generation information technology.</description><subject>CMOS</subject><subject>fabrication methods</subject><subject>halide perovskites</subject><subject>memristors</subject><issn>1674-4926</issn><issn>2058-6140</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UMtKxDAUDaLgOPoJQlfuau9NkzRdyuALBtyM65C2t07GTlOS-vp7O1R05-YeLpwH5zB2iXCNoHWGqhCpKLnKBGYyA4kc5BFbTFenCgUcs8Uv55SdxbgDmH6BC5ZvtpTYYehcbUfn-8S3ydZ2rqFkoODf46sbKSauT_a0Dy6OPsRzdtLaLtLFDy7Z893tZvWQrp_uH1c367TOuRpToSwqUSBJhUpDLjmnutF8CuZUKNKclC2biqpC6apsra6VzVGKsm64rvJ8ya5m3w_bt7Z_MTv_Fvop0VTN-Flx4AASoJiIcibWwccYqDVDcHsbvgyCOUxkDvXNob4RaKSZJ5p0OOucH_7M_9d8A3EYZpg</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Cao, Gang</creator><creator>Cheng, Chuantong</creator><creator>Zhang, Hengjie</creator><creator>Zhang, Huan</creator><creator>Chen, Run</creator><creator>Huang, Beiju</creator><creator>Yan, Xiaobing</creator><creator>Pei, Weihua</creator><creator>Chen, Hongda</creator><general>Chinese Institute of Electronics</general><general>National-Local Joint Engineering Laboratory of New Energy Photovoltaic Devices, Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding 071002, China%State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China%National-Local Joint Engineering Laboratory of New Energy Photovoltaic Devices, Key Laboratory of Digital Medical Engineering of Hebei Province, College of Electron and Information Engineering, Hebei University, Baoding 071002, China%State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China</general><general>College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China</general><general>State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20200501</creationdate><title>The application of halide perovskites in memristors</title><author>Cao, Gang ; Cheng, Chuantong ; Zhang, Hengjie ; Zhang, Huan ; Chen, Run ; Huang, Beiju ; Yan, Xiaobing ; Pei, Weihua ; Chen, Hongda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-46a16471e5616803522ecd827442e76e82e6a9dbeb768b9fa8c6a31549cd28b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>CMOS</topic><topic>fabrication methods</topic><topic>halide perovskites</topic><topic>memristors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cao, Gang</creatorcontrib><creatorcontrib>Cheng, Chuantong</creatorcontrib><creatorcontrib>Zhang, Hengjie</creatorcontrib><creatorcontrib>Zhang, Huan</creatorcontrib><creatorcontrib>Chen, Run</creatorcontrib><creatorcontrib>Huang, Beiju</creatorcontrib><creatorcontrib>Yan, Xiaobing</creatorcontrib><creatorcontrib>Pei, Weihua</creatorcontrib><creatorcontrib>Chen, Hongda</creatorcontrib><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of semiconductors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Gang</au><au>Cheng, Chuantong</au><au>Zhang, Hengjie</au><au>Zhang, Huan</au><au>Chen, Run</au><au>Huang, Beiju</au><au>Yan, Xiaobing</au><au>Pei, Weihua</au><au>Chen, Hongda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The application of halide perovskites in memristors</atitle><jtitle>Journal of semiconductors</jtitle><addtitle>J. Semicond</addtitle><date>2020-05-01</date><risdate>2020</risdate><volume>41</volume><issue>5</issue><spage>51205</spage><epage>62</epage><pages>51205-62</pages><issn>1674-4926</issn><eissn>2058-6140</eissn><abstract>New neuromorphic architectures and memory technologies with low power consumption, scalability and high-speed are in the spotlight due to the von Neumann bottleneck and limitations of Moore's law. The memristor, a two-terminal synaptic device, shows powerful capabilities in neuromorphic computing and information storage applications. Active materials with high defect migration speed and low defect migration barrier are highly promising for high-performance memristors. Halide perovskite (HP) materials with point defects (such as gaps, vacancies, and inversions) have strong application potential in memristors. In this article, we review recent advances on HP memristors with exceptional performances. First, the working mechanisms of memristors are described. Then, the structures and properties of HPs are explained. Both electrical and photonic HP-based memristors are overviewed and discussed. Different fabrication methods of HP memristor devices and arrays are described and compared. Finally, the challenges in integrating HP memristors with complementary metal oxide semiconductors (CMOS) are briefly discussed. This review can assist in developing HP memristors for the next-generation information technology.</abstract><pub>Chinese Institute of Electronics</pub><doi>10.1088/1674-4926/41/5/051205</doi><tpages>16</tpages></addata></record> |
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subjects | CMOS fabrication methods halide perovskites memristors |
title | The application of halide perovskites in memristors |
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