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Granular vortex spin-torque nano oscillator for reservoir computing
In this paper, we investigate the granularity in the free layer of the magnetic tunnel junctions (MTJ) and its potential to function as a reservoir for reservoir computing where grains act as oscillatory neurons while the device is in the vortex state. The input of the reservoir is applied in the fo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550924/ https://www.ncbi.nlm.nih.gov/pubmed/37794052 http://dx.doi.org/10.1038/s41598-023-43923-z |
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author | Shreya, S. Jenkins, A. S. Rezaeiyan, Y. Li, R. Böhnert, T. Benetti, L. Ferreira, R. Moradi, F. Farkhani, H. |
author_facet | Shreya, S. Jenkins, A. S. Rezaeiyan, Y. Li, R. Böhnert, T. Benetti, L. Ferreira, R. Moradi, F. Farkhani, H. |
author_sort | Shreya, S. |
collection | PubMed |
description | In this paper, we investigate the granularity in the free layer of the magnetic tunnel junctions (MTJ) and its potential to function as a reservoir for reservoir computing where grains act as oscillatory neurons while the device is in the vortex state. The input of the reservoir is applied in the form of a magnetic field which can pin the vortex core into different grains of the device in the magnetic vortex state. The oscillation frequency and MTJ resistance vary across different grains in a non-linear fashion making them great candidates to be served as the reservoir's outputs for classification objectives. Hence, we propose an experimentally validated area-efficient single granular vortex spin-torque nano oscillator (GV-STNO) device in which pinning sites work as random reservoirs that can emulate neuronal functions. We harness the nonlinear oscillation frequency and resistance exhibited by the vortex core granular pinning of the GV-STNO reservoir computing system to demonstrate waveform classification. |
format | Online Article Text |
id | pubmed-10550924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105509242023-10-06 Granular vortex spin-torque nano oscillator for reservoir computing Shreya, S. Jenkins, A. S. Rezaeiyan, Y. Li, R. Böhnert, T. Benetti, L. Ferreira, R. Moradi, F. Farkhani, H. Sci Rep Article In this paper, we investigate the granularity in the free layer of the magnetic tunnel junctions (MTJ) and its potential to function as a reservoir for reservoir computing where grains act as oscillatory neurons while the device is in the vortex state. The input of the reservoir is applied in the form of a magnetic field which can pin the vortex core into different grains of the device in the magnetic vortex state. The oscillation frequency and MTJ resistance vary across different grains in a non-linear fashion making them great candidates to be served as the reservoir's outputs for classification objectives. Hence, we propose an experimentally validated area-efficient single granular vortex spin-torque nano oscillator (GV-STNO) device in which pinning sites work as random reservoirs that can emulate neuronal functions. We harness the nonlinear oscillation frequency and resistance exhibited by the vortex core granular pinning of the GV-STNO reservoir computing system to demonstrate waveform classification. Nature Publishing Group UK 2023-10-04 /pmc/articles/PMC10550924/ /pubmed/37794052 http://dx.doi.org/10.1038/s41598-023-43923-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shreya, S. Jenkins, A. S. Rezaeiyan, Y. Li, R. Böhnert, T. Benetti, L. Ferreira, R. Moradi, F. Farkhani, H. Granular vortex spin-torque nano oscillator for reservoir computing |
title | Granular vortex spin-torque nano oscillator for reservoir computing |
title_full | Granular vortex spin-torque nano oscillator for reservoir computing |
title_fullStr | Granular vortex spin-torque nano oscillator for reservoir computing |
title_full_unstemmed | Granular vortex spin-torque nano oscillator for reservoir computing |
title_short | Granular vortex spin-torque nano oscillator for reservoir computing |
title_sort | granular vortex spin-torque nano oscillator for reservoir computing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550924/ https://www.ncbi.nlm.nih.gov/pubmed/37794052 http://dx.doi.org/10.1038/s41598-023-43923-z |
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