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Low Power In-Memory Computation with Reciprocal Ferromagnet/Topological Insulator Heterostructures
[Image: see text] The surface state of a 3D topological insulator (3DTI) is a spin-momentum locked conductive state, whose large spin hall angle can be used for the energy-efficient spin–orbit torque based switching of an overlying ferromagnet (FM). Conversely, the gated switching of the magnetizati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798907/ https://www.ncbi.nlm.nih.gov/pubmed/36459145 http://dx.doi.org/10.1021/acsnano.2c05645 |
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author | Vakili, Hamed Ganguly, Samiran de Coster, George J. Neupane, Mahesh R. Ghosh, Avik W. |
author_facet | Vakili, Hamed Ganguly, Samiran de Coster, George J. Neupane, Mahesh R. Ghosh, Avik W. |
author_sort | Vakili, Hamed |
collection | PubMed |
description | [Image: see text] The surface state of a 3D topological insulator (3DTI) is a spin-momentum locked conductive state, whose large spin hall angle can be used for the energy-efficient spin–orbit torque based switching of an overlying ferromagnet (FM). Conversely, the gated switching of the magnetization of a separate FM in or out of the TI surface plane can turn on and off the TI surface current. By exploiting this reciprocal behavior, we can use two FM/3DTI heterostructures to design an integrated 1-transistor 1-magnetic tunnel junction random access memory unit (1T1MTJ RAM) for an ultra low power Processing-in-Memory (PiM) architecture. Our calculation involves combining the Fokker–Planck equation with the Nonequilibrium Green Function (NEGF) based flow of conduction electrons and Landau–Lifshitz–Gilbert (LLG) based dynamics of magnetization. Our combined approach allows us to connect device performance metrics with underlying material parameters, which can guide proposed experimental and fabrication efforts. |
format | Online Article Text |
id | pubmed-9798907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97989072022-12-30 Low Power In-Memory Computation with Reciprocal Ferromagnet/Topological Insulator Heterostructures Vakili, Hamed Ganguly, Samiran de Coster, George J. Neupane, Mahesh R. Ghosh, Avik W. ACS Nano [Image: see text] The surface state of a 3D topological insulator (3DTI) is a spin-momentum locked conductive state, whose large spin hall angle can be used for the energy-efficient spin–orbit torque based switching of an overlying ferromagnet (FM). Conversely, the gated switching of the magnetization of a separate FM in or out of the TI surface plane can turn on and off the TI surface current. By exploiting this reciprocal behavior, we can use two FM/3DTI heterostructures to design an integrated 1-transistor 1-magnetic tunnel junction random access memory unit (1T1MTJ RAM) for an ultra low power Processing-in-Memory (PiM) architecture. Our calculation involves combining the Fokker–Planck equation with the Nonequilibrium Green Function (NEGF) based flow of conduction electrons and Landau–Lifshitz–Gilbert (LLG) based dynamics of magnetization. Our combined approach allows us to connect device performance metrics with underlying material parameters, which can guide proposed experimental and fabrication efforts. American Chemical Society 2022-12-02 2022-12-27 /pmc/articles/PMC9798907/ /pubmed/36459145 http://dx.doi.org/10.1021/acsnano.2c05645 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Vakili, Hamed Ganguly, Samiran de Coster, George J. Neupane, Mahesh R. Ghosh, Avik W. Low Power In-Memory Computation with Reciprocal Ferromagnet/Topological Insulator Heterostructures |
title | Low Power In-Memory
Computation with Reciprocal Ferromagnet/Topological
Insulator Heterostructures |
title_full | Low Power In-Memory
Computation with Reciprocal Ferromagnet/Topological
Insulator Heterostructures |
title_fullStr | Low Power In-Memory
Computation with Reciprocal Ferromagnet/Topological
Insulator Heterostructures |
title_full_unstemmed | Low Power In-Memory
Computation with Reciprocal Ferromagnet/Topological
Insulator Heterostructures |
title_short | Low Power In-Memory
Computation with Reciprocal Ferromagnet/Topological
Insulator Heterostructures |
title_sort | low power in-memory
computation with reciprocal ferromagnet/topological
insulator heterostructures |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798907/ https://www.ncbi.nlm.nih.gov/pubmed/36459145 http://dx.doi.org/10.1021/acsnano.2c05645 |
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