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Low energy consumption fiber-type memristor array with integrated sensing-memory
The increasing growth of electronic information science and technology has triggered the renaissance of the artificial sensory nervous system (SNS), which can emulate the response of organisms towards external stimuli with high efficiency. In traditional SNS, the sensor units and the memory units ar...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
RSC
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417447/ https://www.ncbi.nlm.nih.gov/pubmed/36131775 http://dx.doi.org/10.1039/d1na00703c |
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author | Meng, Yanfang Zhu, Jiaxue |
author_facet | Meng, Yanfang Zhu, Jiaxue |
author_sort | Meng, Yanfang |
collection | PubMed |
description | The increasing growth of electronic information science and technology has triggered the renaissance of the artificial sensory nervous system (SNS), which can emulate the response of organisms towards external stimuli with high efficiency. In traditional SNS, the sensor units and the memory units are separated, and therefore difficult to miniaturize and integrate. Here, we have incorporated the sensor unit and the memory unit into one system, taking advantage of the unique properties of the ion-gel system. Meanwhile, the weaving-type memory array presents paramount advantages of integration and miniaturization and conformal lamination to curved surfaces. It is worth noting that the electrical double layer (EDL) within the ion gel endow the device with a low operation voltage (<1 V) to achieve low energy consumption. Finally, according to the relationship of pressure stimuli and electrical behavior, the integrated responsiveness-storage external stimuli ability is achieved. Our work offers a new platform for designing cutting edge SNS. |
format | Online Article Text |
id | pubmed-9417447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | RSC |
record_format | MEDLINE/PubMed |
spelling | pubmed-94174472022-09-20 Low energy consumption fiber-type memristor array with integrated sensing-memory Meng, Yanfang Zhu, Jiaxue Nanoscale Adv Chemistry The increasing growth of electronic information science and technology has triggered the renaissance of the artificial sensory nervous system (SNS), which can emulate the response of organisms towards external stimuli with high efficiency. In traditional SNS, the sensor units and the memory units are separated, and therefore difficult to miniaturize and integrate. Here, we have incorporated the sensor unit and the memory unit into one system, taking advantage of the unique properties of the ion-gel system. Meanwhile, the weaving-type memory array presents paramount advantages of integration and miniaturization and conformal lamination to curved surfaces. It is worth noting that the electrical double layer (EDL) within the ion gel endow the device with a low operation voltage (<1 V) to achieve low energy consumption. Finally, according to the relationship of pressure stimuli and electrical behavior, the integrated responsiveness-storage external stimuli ability is achieved. Our work offers a new platform for designing cutting edge SNS. RSC 2022-01-18 /pmc/articles/PMC9417447/ /pubmed/36131775 http://dx.doi.org/10.1039/d1na00703c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Chemistry Meng, Yanfang Zhu, Jiaxue Low energy consumption fiber-type memristor array with integrated sensing-memory |
title | Low energy consumption fiber-type memristor array with integrated sensing-memory |
title_full | Low energy consumption fiber-type memristor array with integrated sensing-memory |
title_fullStr | Low energy consumption fiber-type memristor array with integrated sensing-memory |
title_full_unstemmed | Low energy consumption fiber-type memristor array with integrated sensing-memory |
title_short | Low energy consumption fiber-type memristor array with integrated sensing-memory |
title_sort | low energy consumption fiber-type memristor array with integrated sensing-memory |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417447/ https://www.ncbi.nlm.nih.gov/pubmed/36131775 http://dx.doi.org/10.1039/d1na00703c |
work_keys_str_mv | AT mengyanfang lowenergyconsumptionfibertypememristorarraywithintegratedsensingmemory AT zhujiaxue lowenergyconsumptionfibertypememristorarraywithintegratedsensingmemory |