Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing
Abstract Artificial spin ice (ASI) consisting patterned array of nano-magnets with frustrated dipolar interactions offers an excellent platform to study frustrated physics using direct imaging methods. Moreover, ASI often hosts a large number of nearly degenerated and non-volatile spin states that c...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-38286-y |
| _version_ | 1797832026510852096 |
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| author | Wenjie Hu Zefeng Zhang Yanghui Liao Qiang Li Yang Shi Huanyu Zhang Xumeng Zhang Chang Niu Yu Wu Weichao Yu Xiaodong Zhou Hangwen Guo Wenbin Wang Jiang Xiao Lifeng Yin Qi Liu Jian Shen |
| author_facet | Wenjie Hu Zefeng Zhang Yanghui Liao Qiang Li Yang Shi Huanyu Zhang Xumeng Zhang Chang Niu Yu Wu Weichao Yu Xiaodong Zhou Hangwen Guo Wenbin Wang Jiang Xiao Lifeng Yin Qi Liu Jian Shen |
| author_sort | Wenjie Hu |
| collection | DOAJ |
| description | Abstract Artificial spin ice (ASI) consisting patterned array of nano-magnets with frustrated dipolar interactions offers an excellent platform to study frustrated physics using direct imaging methods. Moreover, ASI often hosts a large number of nearly degenerated and non-volatile spin states that can be used for multi-bit data storage and neuromorphic computing. The realization of the device potential of ASI, however, critically relies on the capability of transport characterization of ASI, which has not been demonstrated so far. Using a tri-axial ASI system as the model system, we demonstrate that transport measurements can be used to distinguish the different spin states of the ASI system. Specifically, by fabricating a tri-layer structure consisting a permalloy base layer, a Cu spacer layer and the tri-axial ASI layer, we clearly resolve different spin states in the tri-axial ASI system using lateral transport measurements. We have further demonstrated that the tri-axial ASI system has all necessary required properties for reservoir computing, including rich spin configurations to store input signals, nonlinear response to input signals, and fading memory effect. The successful transport characterization of ASI opens up the prospect for novel device applications of ASI in multi-bit data storage and neuromorphic computing. |
| first_indexed | 2024-04-09T14:01:07Z |
| format | Article |
| id | doaj.art-6faa5159152a4fc7b7bccb367147c0c8 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-09T14:01:07Z |
| publishDate | 2023-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-6faa5159152a4fc7b7bccb367147c0c82023-05-07T11:17:39ZengNature PortfolioNature Communications2041-17232023-05-011411910.1038/s41467-023-38286-yDistinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computingWenjie Hu0Zefeng Zhang1Yanghui Liao2Qiang Li3Yang Shi4Huanyu Zhang5Xumeng Zhang6Chang Niu7Yu Wu8Weichao Yu9Xiaodong Zhou10Hangwen Guo11Wenbin Wang12Jiang Xiao13Lifeng Yin14Qi Liu15Jian Shen16State Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityFrontier Institute of Chip and System, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityFrontier Institute of Chip and System, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityFrontier Institute of Chip and System, Fudan UniversityState Key Laboratory of Surface Physics, Institute for Nanoelectronic Devices and Quantum Computing, and Department of Physics, Fudan UniversityAbstract Artificial spin ice (ASI) consisting patterned array of nano-magnets with frustrated dipolar interactions offers an excellent platform to study frustrated physics using direct imaging methods. Moreover, ASI often hosts a large number of nearly degenerated and non-volatile spin states that can be used for multi-bit data storage and neuromorphic computing. The realization of the device potential of ASI, however, critically relies on the capability of transport characterization of ASI, which has not been demonstrated so far. Using a tri-axial ASI system as the model system, we demonstrate that transport measurements can be used to distinguish the different spin states of the ASI system. Specifically, by fabricating a tri-layer structure consisting a permalloy base layer, a Cu spacer layer and the tri-axial ASI layer, we clearly resolve different spin states in the tri-axial ASI system using lateral transport measurements. We have further demonstrated that the tri-axial ASI system has all necessary required properties for reservoir computing, including rich spin configurations to store input signals, nonlinear response to input signals, and fading memory effect. The successful transport characterization of ASI opens up the prospect for novel device applications of ASI in multi-bit data storage and neuromorphic computing.https://doi.org/10.1038/s41467-023-38286-y |
| spellingShingle | Wenjie Hu Zefeng Zhang Yanghui Liao Qiang Li Yang Shi Huanyu Zhang Xumeng Zhang Chang Niu Yu Wu Weichao Yu Xiaodong Zhou Hangwen Guo Wenbin Wang Jiang Xiao Lifeng Yin Qi Liu Jian Shen Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing Nature Communications |
| title | Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing |
| title_full | Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing |
| title_fullStr | Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing |
| title_full_unstemmed | Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing |
| title_short | Distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing |
| title_sort | distinguishing artificial spin ice states using magnetoresistance effect for neuromorphic computing |
| url | https://doi.org/10.1038/s41467-023-38286-y |
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