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Experimental Demonstration of a Skyrmion-enhanced Strain-mediated Physical Reservoir Computing System by 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 is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Experimental Demonstration of a Skyrmion-enhanced Strain-mediated Physical Reservoir Computing System about?
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 0.7PbMg~1/3~Nb~2/3~O~3~−0.3PbTiO~3~ (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.
Who reads Experimental Demonstration of a Skyrmion-enhanced Strain-mediated Physical Reservoir Computing System?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- 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
- Publisher
- Springer Science and Business Media LLC
- Published
- 2023
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)