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An Artificial Synapse Based on CsPbI3 Thin Film
With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874570/ https://www.ncbi.nlm.nih.gov/pubmed/35208408 http://dx.doi.org/10.3390/mi13020284 |
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author | Chen, Jia-Ying Tang, Xin-Gui Liu, Qiu-Xiang Jiang, Yan-Ping Zhong, Wen-Min Luo, Fang |
author_facet | Chen, Jia-Ying Tang, Xin-Gui Liu, Qiu-Xiang Jiang, Yan-Ping Zhong, Wen-Min Luo, Fang |
author_sort | Chen, Jia-Ying |
collection | PubMed |
description | With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the chip is limited due to the end of Moore’s Law. An artificial synapse based on halide perovskite CsPbI(3) was fabricated to address these problems. The CsPbI(3) thin film was obtained by a one-step spin-coating method, and the artificial synapse with the structure of Au/CsPbI(3)/ITO exhibited learning and memory behavior similar to biological neurons. In addition, the synaptic plasticity was proven, including short-term synaptic plasticity (STSP) and long-term synaptic plasticity (LTSP). We also discuss the possibility of forming long-term memory in the device through changing input signals. |
format | Online Article Text |
id | pubmed-8874570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88745702022-02-26 An Artificial Synapse Based on CsPbI3 Thin Film Chen, Jia-Ying Tang, Xin-Gui Liu, Qiu-Xiang Jiang, Yan-Ping Zhong, Wen-Min Luo, Fang Micromachines (Basel) Article With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the chip is limited due to the end of Moore’s Law. An artificial synapse based on halide perovskite CsPbI(3) was fabricated to address these problems. The CsPbI(3) thin film was obtained by a one-step spin-coating method, and the artificial synapse with the structure of Au/CsPbI(3)/ITO exhibited learning and memory behavior similar to biological neurons. In addition, the synaptic plasticity was proven, including short-term synaptic plasticity (STSP) and long-term synaptic plasticity (LTSP). We also discuss the possibility of forming long-term memory in the device through changing input signals. MDPI 2022-02-10 /pmc/articles/PMC8874570/ /pubmed/35208408 http://dx.doi.org/10.3390/mi13020284 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Jia-Ying Tang, Xin-Gui Liu, Qiu-Xiang Jiang, Yan-Ping Zhong, Wen-Min Luo, Fang An Artificial Synapse Based on CsPbI3 Thin Film |
title | An Artificial Synapse Based on CsPbI3 Thin Film |
title_full | An Artificial Synapse Based on CsPbI3 Thin Film |
title_fullStr | An Artificial Synapse Based on CsPbI3 Thin Film |
title_full_unstemmed | An Artificial Synapse Based on CsPbI3 Thin Film |
title_short | An Artificial Synapse Based on CsPbI3 Thin Film |
title_sort | artificial synapse based on cspbi3 thin film |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874570/ https://www.ncbi.nlm.nih.gov/pubmed/35208408 http://dx.doi.org/10.3390/mi13020284 |
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