TY - JOUR
T1 - Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system
AU - Sun, Yiming
AU - Lin, Tao
AU - Lei, Na
AU - Chen, Xing
AU - Kang, Wang
AU - Zhao, Zhiyuan
AU - Wei, Dahai
AU - Chen, Chao
AU - Pang, Simin
AU - Hu, Linglong
AU - Yang, Liu
AU - Dong, Enxuan
AU - Zhao, Li
AU - Liu, Lei
AU - Yuan, Zhe
AU - Ullrich, Aladin
AU - Back, Christian H.
AU - Zhang, Jun
AU - Pan, Dong
AU - Zhao, Jianhua
AU - Feng, Ming
AU - Fert, Albert
AU - Zhao, Weisheng
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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 for low-power neuromorphic computing systems with magneto-electro-ferroelastic tunability, representing a further step towards developing future strain-mediated spintronic applications.
AB - 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 for low-power neuromorphic computing systems with magneto-electro-ferroelastic tunability, representing a further step towards developing future strain-mediated spintronic applications.
UR - https://www.scopus.com/pages/publications/85161704968
U2 - 10.1038/s41467-023-39207-9
DO - 10.1038/s41467-023-39207-9
M3 - Article
C2 - 37301906
AN - SCOPUS:85161704968
SN - 2041-1723
VL - 14
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 3434
ER -