Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory
Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging to develop a magnon-based logic due to the lack of efficient electrical manipulation of magnon transport. Here we presen...
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creator | Chai, Yahong Liang, Yuhan Xiao, Cancheng Wang, Yue Li, Bo Jiang, Dingsong Pal, Pratap Tang, Yongjian Chen, Hetian Zhang, Yuejie Skowroński, Witold Zhang, Qinghua Gu, Lin Ma, Jing Yu, Pu Tang, Jianshi Lin, Yuan-Hua Yi, Di Ralph, Daniel C Eom, Chang-Beom Wu, Huaqiang Nan, Tianxiang |
description | Magnons, bosonic quasiparticles carrying angular momentum, can flow through
insulators for information transmission with minimal power dissipation.
However, it remains challenging to develop a magnon-based logic due to the lack
of efficient electrical manipulation of magnon transport. Here we present a
magnon logic-in-memory device in a spin-source/multiferroic/ferromagnet
structure, where multiferroic magnon modes can be electrically excited and
controlled. In this device, magnon information is encoded to ferromagnetic bits
by the magnon-mediated spin torque. We show that the ferroelectric polarization
can electrically modulate the magnon spin-torque by controlling the
non-collinear antiferromagnetic structure in multiferroic bismuth ferrite thin
films with coupled antiferromagnetic and ferroelectric orders. By manipulating
the two coupled non-volatile state variables (ferroelectric polarization and
magnetization), we further demonstrate reconfigurable logic-in-memory
operations in a single device. Our findings highlight the potential of
multiferroics for controlling magnon information transport and offer a pathway
towards room-temperature voltage-controlled, low-power, scalable magnonics for
in-memory computing. |
doi_str_mv | 10.48550/arxiv.2309.14614 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2309_14614</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2309_14614</sourcerecordid><originalsourceid>FETCH-LOGICAL-a674-3b7d699764c1c2b413adad1e5569db1a5811c1057a4b54c14fff8da652769793</originalsourceid><addsrcrecordid>eNotz7tOwzAYhmEvDKjlApjwDTjE8SkeSzlVSoREu0e_T5Gl1C4uQfTugZbpW1590oPQLa0r3gpR30P5jl9Vw2pdUS4pv0aP_Tx9xuBLydHiHsaUE94eYiK7XD5mjx_g6B1-9zanEMe5gJk87vIYLdkk0vt9LqclugowHf3N_y7Q9vlpt34l3dvLZr3qCEjFCTPKSa2V5JbaxnDKwIGjXgipnaEgWkotrYUCbsRvw0MIrQMpGiW10myB7i6vZ8VwKHEP5TT8aYazhv0A72ZEdQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory</title><source>arXiv.org</source><creator>Chai, Yahong ; Liang, Yuhan ; Xiao, Cancheng ; Wang, Yue ; Li, Bo ; Jiang, Dingsong ; Pal, Pratap ; Tang, Yongjian ; Chen, Hetian ; Zhang, Yuejie ; Skowroński, Witold ; Zhang, Qinghua ; Gu, Lin ; Ma, Jing ; Yu, Pu ; Tang, Jianshi ; Lin, Yuan-Hua ; Yi, Di ; Ralph, Daniel C ; Eom, Chang-Beom ; Wu, Huaqiang ; Nan, Tianxiang</creator><creatorcontrib>Chai, Yahong ; Liang, Yuhan ; Xiao, Cancheng ; Wang, Yue ; Li, Bo ; Jiang, Dingsong ; Pal, Pratap ; Tang, Yongjian ; Chen, Hetian ; Zhang, Yuejie ; Skowroński, Witold ; Zhang, Qinghua ; Gu, Lin ; Ma, Jing ; Yu, Pu ; Tang, Jianshi ; Lin, Yuan-Hua ; Yi, Di ; Ralph, Daniel C ; Eom, Chang-Beom ; Wu, Huaqiang ; Nan, Tianxiang</creatorcontrib><description>Magnons, bosonic quasiparticles carrying angular momentum, can flow through
insulators for information transmission with minimal power dissipation.
However, it remains challenging to develop a magnon-based logic due to the lack
of efficient electrical manipulation of magnon transport. Here we present a
magnon logic-in-memory device in a spin-source/multiferroic/ferromagnet
structure, where multiferroic magnon modes can be electrically excited and
controlled. In this device, magnon information is encoded to ferromagnetic bits
by the magnon-mediated spin torque. We show that the ferroelectric polarization
can electrically modulate the magnon spin-torque by controlling the
non-collinear antiferromagnetic structure in multiferroic bismuth ferrite thin
films with coupled antiferromagnetic and ferroelectric orders. By manipulating
the two coupled non-volatile state variables (ferroelectric polarization and
magnetization), we further demonstrate reconfigurable logic-in-memory
operations in a single device. Our findings highlight the potential of
multiferroics for controlling magnon information transport and offer a pathway
towards room-temperature voltage-controlled, low-power, scalable magnonics for
in-memory computing.</description><identifier>DOI: 10.48550/arxiv.2309.14614</identifier><language>eng</language><subject>Physics - Applied Physics ; Physics - Mesoscale and Nanoscale Physics</subject><creationdate>2023-09</creationdate><rights>http://creativecommons.org/licenses/by-nc-nd/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2309.14614$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2309.14614$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Chai, Yahong</creatorcontrib><creatorcontrib>Liang, Yuhan</creatorcontrib><creatorcontrib>Xiao, Cancheng</creatorcontrib><creatorcontrib>Wang, Yue</creatorcontrib><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Jiang, Dingsong</creatorcontrib><creatorcontrib>Pal, Pratap</creatorcontrib><creatorcontrib>Tang, Yongjian</creatorcontrib><creatorcontrib>Chen, Hetian</creatorcontrib><creatorcontrib>Zhang, Yuejie</creatorcontrib><creatorcontrib>Skowroński, Witold</creatorcontrib><creatorcontrib>Zhang, Qinghua</creatorcontrib><creatorcontrib>Gu, Lin</creatorcontrib><creatorcontrib>Ma, Jing</creatorcontrib><creatorcontrib>Yu, Pu</creatorcontrib><creatorcontrib>Tang, Jianshi</creatorcontrib><creatorcontrib>Lin, Yuan-Hua</creatorcontrib><creatorcontrib>Yi, Di</creatorcontrib><creatorcontrib>Ralph, Daniel C</creatorcontrib><creatorcontrib>Eom, Chang-Beom</creatorcontrib><creatorcontrib>Wu, Huaqiang</creatorcontrib><creatorcontrib>Nan, Tianxiang</creatorcontrib><title>Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory</title><description>Magnons, bosonic quasiparticles carrying angular momentum, can flow through
insulators for information transmission with minimal power dissipation.
However, it remains challenging to develop a magnon-based logic due to the lack
of efficient electrical manipulation of magnon transport. Here we present a
magnon logic-in-memory device in a spin-source/multiferroic/ferromagnet
structure, where multiferroic magnon modes can be electrically excited and
controlled. In this device, magnon information is encoded to ferromagnetic bits
by the magnon-mediated spin torque. We show that the ferroelectric polarization
can electrically modulate the magnon spin-torque by controlling the
non-collinear antiferromagnetic structure in multiferroic bismuth ferrite thin
films with coupled antiferromagnetic and ferroelectric orders. By manipulating
the two coupled non-volatile state variables (ferroelectric polarization and
magnetization), we further demonstrate reconfigurable logic-in-memory
operations in a single device. Our findings highlight the potential of
multiferroics for controlling magnon information transport and offer a pathway
towards room-temperature voltage-controlled, low-power, scalable magnonics for
in-memory computing.</description><subject>Physics - Applied Physics</subject><subject>Physics - Mesoscale and Nanoscale Physics</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz7tOwzAYhmEvDKjlApjwDTjE8SkeSzlVSoREu0e_T5Gl1C4uQfTugZbpW1590oPQLa0r3gpR30P5jl9Vw2pdUS4pv0aP_Tx9xuBLydHiHsaUE94eYiK7XD5mjx_g6B1-9zanEMe5gJk87vIYLdkk0vt9LqclugowHf3N_y7Q9vlpt34l3dvLZr3qCEjFCTPKSa2V5JbaxnDKwIGjXgipnaEgWkotrYUCbsRvw0MIrQMpGiW10myB7i6vZ8VwKHEP5TT8aYazhv0A72ZEdQ</recordid><startdate>20230925</startdate><enddate>20230925</enddate><creator>Chai, Yahong</creator><creator>Liang, Yuhan</creator><creator>Xiao, Cancheng</creator><creator>Wang, Yue</creator><creator>Li, Bo</creator><creator>Jiang, Dingsong</creator><creator>Pal, Pratap</creator><creator>Tang, Yongjian</creator><creator>Chen, Hetian</creator><creator>Zhang, Yuejie</creator><creator>Skowroński, Witold</creator><creator>Zhang, Qinghua</creator><creator>Gu, Lin</creator><creator>Ma, Jing</creator><creator>Yu, Pu</creator><creator>Tang, Jianshi</creator><creator>Lin, Yuan-Hua</creator><creator>Yi, Di</creator><creator>Ralph, Daniel C</creator><creator>Eom, Chang-Beom</creator><creator>Wu, Huaqiang</creator><creator>Nan, Tianxiang</creator><scope>GOX</scope></search><sort><creationdate>20230925</creationdate><title>Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory</title><author>Chai, Yahong ; Liang, Yuhan ; Xiao, Cancheng ; Wang, Yue ; Li, Bo ; Jiang, Dingsong ; Pal, Pratap ; Tang, Yongjian ; Chen, Hetian ; Zhang, Yuejie ; Skowroński, Witold ; Zhang, Qinghua ; Gu, Lin ; Ma, Jing ; Yu, Pu ; Tang, Jianshi ; Lin, Yuan-Hua ; Yi, Di ; Ralph, Daniel C ; Eom, Chang-Beom ; Wu, Huaqiang ; Nan, Tianxiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a674-3b7d699764c1c2b413adad1e5569db1a5811c1057a4b54c14fff8da652769793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Physics - Applied Physics</topic><topic>Physics - Mesoscale and Nanoscale Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Chai, Yahong</creatorcontrib><creatorcontrib>Liang, Yuhan</creatorcontrib><creatorcontrib>Xiao, Cancheng</creatorcontrib><creatorcontrib>Wang, Yue</creatorcontrib><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Jiang, Dingsong</creatorcontrib><creatorcontrib>Pal, Pratap</creatorcontrib><creatorcontrib>Tang, Yongjian</creatorcontrib><creatorcontrib>Chen, Hetian</creatorcontrib><creatorcontrib>Zhang, Yuejie</creatorcontrib><creatorcontrib>Skowroński, Witold</creatorcontrib><creatorcontrib>Zhang, Qinghua</creatorcontrib><creatorcontrib>Gu, Lin</creatorcontrib><creatorcontrib>Ma, Jing</creatorcontrib><creatorcontrib>Yu, Pu</creatorcontrib><creatorcontrib>Tang, Jianshi</creatorcontrib><creatorcontrib>Lin, Yuan-Hua</creatorcontrib><creatorcontrib>Yi, Di</creatorcontrib><creatorcontrib>Ralph, Daniel C</creatorcontrib><creatorcontrib>Eom, Chang-Beom</creatorcontrib><creatorcontrib>Wu, Huaqiang</creatorcontrib><creatorcontrib>Nan, Tianxiang</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chai, Yahong</au><au>Liang, Yuhan</au><au>Xiao, Cancheng</au><au>Wang, Yue</au><au>Li, Bo</au><au>Jiang, Dingsong</au><au>Pal, Pratap</au><au>Tang, Yongjian</au><au>Chen, Hetian</au><au>Zhang, Yuejie</au><au>Skowroński, Witold</au><au>Zhang, Qinghua</au><au>Gu, Lin</au><au>Ma, Jing</au><au>Yu, Pu</au><au>Tang, Jianshi</au><au>Lin, Yuan-Hua</au><au>Yi, Di</au><au>Ralph, Daniel C</au><au>Eom, Chang-Beom</au><au>Wu, Huaqiang</au><au>Nan, Tianxiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory</atitle><date>2023-09-25</date><risdate>2023</risdate><abstract>Magnons, bosonic quasiparticles carrying angular momentum, can flow through
insulators for information transmission with minimal power dissipation.
However, it remains challenging to develop a magnon-based logic due to the lack
of efficient electrical manipulation of magnon transport. Here we present a
magnon logic-in-memory device in a spin-source/multiferroic/ferromagnet
structure, where multiferroic magnon modes can be electrically excited and
controlled. In this device, magnon information is encoded to ferromagnetic bits
by the magnon-mediated spin torque. We show that the ferroelectric polarization
can electrically modulate the magnon spin-torque by controlling the
non-collinear antiferromagnetic structure in multiferroic bismuth ferrite thin
films with coupled antiferromagnetic and ferroelectric orders. By manipulating
the two coupled non-volatile state variables (ferroelectric polarization and
magnetization), we further demonstrate reconfigurable logic-in-memory
operations in a single device. Our findings highlight the potential of
multiferroics for controlling magnon information transport and offer a pathway
towards room-temperature voltage-controlled, low-power, scalable magnonics for
in-memory computing.</abstract><doi>10.48550/arxiv.2309.14614</doi><oa>free_for_read</oa></addata></record> |
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title | Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory |
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