Yiming Sun, Tao Lin, Na Lei, Xing Chen, Wang Kang, Zhiyuan Zhao, Dahai Wei, Chao Chen, Simin Pang, Linglong Hu, Liu Yang, Enxuan Dong, Li Zhao, Lei Liu, Zhe Yuan, Aladin Ullrich, Christian H. Back, Jun Zhang, Dong Pan, Jianhua Zhao, Ming Feng, Albert Fert, Weisheng Zhao
- Physical reservoirs holding intrinsic nonlinearity, high dimensionality, and memory effects have attracted considerable interest regarding solving complex tasks efficiently. Particularly, spintronic and strain-mediated electronic physical reservoirs are appealing due to their high speed, multi-parameter fusion and low power consumption. Here, we experimentally realize a skyrmion-enhanced strain-mediated physical reservoir in a multiferroic heterostructure of Pt/Co/Gd multilayers on (001)-oriented 0.7PbMg1/3Nb2/3O3−0.3PbTiO3 (PMN-PT). The enhancement is coming from the fusion of magnetic skyrmions and electro resistivity tuned by strain simultaneously. The functionality of the strain-mediated RC system is successfully achieved via a sequential waveform classification task with the recognition rate of 99.3% for the last waveform, and a Mackey-Glass time series prediction task with normalized root mean square error (NRMSE) of 0.2 for a 20-step prediction. Our work lays the foundations forPhysical reservoirs holding intrinsic nonlinearity, high dimensionality, and memory effects have attracted considerable interest regarding solving complex tasks efficiently. Particularly, spintronic and strain-mediated electronic physical reservoirs are appealing due to their high speed, multi-parameter fusion and low power consumption. Here, we experimentally realize a skyrmion-enhanced strain-mediated physical reservoir in a multiferroic heterostructure of Pt/Co/Gd multilayers on (001)-oriented 0.7PbMg1/3Nb2/3O3−0.3PbTiO3 (PMN-PT). The enhancement is coming from the fusion of magnetic skyrmions and electro resistivity tuned by strain simultaneously. The functionality of the strain-mediated RC system is successfully achieved via a sequential waveform classification task with the recognition rate of 99.3% for the last waveform, and a Mackey-Glass time series prediction task with normalized root mean square error (NRMSE) of 0.2 for a 20-step prediction. Our work lays the foundations for low-power neuromorphic computing systems with magneto-electro-ferroelastic tunability, representing a further step towards developing future strain-mediated spintronic applications.…
MetadatenAuthor: | Yiming Sun, Tao Lin, Na Lei, Xing Chen, Wang Kang, Zhiyuan Zhao, Dahai Wei, Chao Chen, Simin Pang, Linglong Hu, Liu Yang, Enxuan Dong, Li Zhao, Lei Liu, Zhe Yuan, Aladin UllrichGND, Christian H. Back, Jun Zhang, Dong Pan, Jianhua Zhao, Ming Feng, Albert Fert, Weisheng Zhao |
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URN: | urn:nbn:de:bvb:384-opus4-1063321 |
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Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/106332 |
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ISSN: | 2041-1723OPAC |
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Parent Title (English): | Nature Communications |
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Publisher: | Springer Science and Business Media LLC |
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Place of publication: | Berlin |
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Type: | Article |
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Language: | English |
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Year of first Publication: | 2023 |
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Publishing Institution: | Universität Augsburg |
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Release Date: | 2023/07/25 |
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Tag: | General Physics and Astronomy; General Biochemistry, Genetics and Molecular Biology; General Chemistry; Multidisciplinary |
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Volume: | 14 |
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Issue: | 1 |
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First Page: | 3434 |
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DOI: | https://doi.org/10.1038/s41467-023-39207-9 |
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Institutes: | Mathematisch-Naturwissenschaftlich-Technische Fakultät |
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| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Physik |
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| Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Physik / Lehrstuhl für Experimentalphysik II |
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Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
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Licence (German): | CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |
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