Bimodal alteration of cognitive accuracy for spintronic artificial neural networks

Bimodal alteration of cognitive accuracy for spintronic artificial neural networks

Nanoscale Horizons

10.1039/d4nh00097h

http://dx.doi.org/10.1039/d4nh00097h

Anuj Kumar, Debasis Das, Dennis J. X. Lin, Lisen Huang, Sherry L. K. Yap, Hang Khume Tan, Royston J. J. Lim, Hui Ru Tan, Yeow Teck Toh, Sze Ter Lim, Xuanyao Fong, Pin Ho

neural network, artificial synapse, Spintronics, spin orbit torque, Artificial neural networks, Electrical measurements, electronic transport, Magnetic tunnel junction

02 July 2024

Kumar, A., Das, D., Lin, D. J. X., Huang, L., Yap, S. L. K., Tan, H. K., Lim, R. J. J., Tan, H. R., Toh, Y. T., Lim, S. T., Fong, X., & Ho, P. (2024). Bimodal alteration of cognitive accuracy for spintronic artificial neural networks. Nanoscale Horizons. https://doi.org/10.1039/d4nh00097h

A bimodal approach to enhance cognitive accuracies by tuning the magnetoresistance and multistate in a compound spin synapse is developed.

Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This research / project is supported by the Agency for Science, Technology and Research, A*STAR - RIE2020 - SpOT-LITE programme
Grant Reference no. : A18A6b0057

This research / project is supported by the Agency for Science, Technology and Research, A*STAR - RIE 2025 Manufacturing, Trade and Connectivity (MTC) Individual Research Grant (IRG)
Grant Reference no. : M23M6c0101

This research / project is supported by the Agency for Science, Technology and Research, A*STAR - Career Development Fund
Grant Reference no. : C210812017

https://oar.a-star.edu.sg/communities-collections/articles/20508

2055-6756
2055-6764

Institute of Materials Research and Engineering

https://pubs.rsc.org/en/content/articlelanding/2024/nh/d4nh00097h