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Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors
Direct foaming from solids is the most efficient method to fabricate porous materials. However, the ideal foaming fails to prepare aerogel of nanoparticles because the plasticity of their solids is denied by the overwhelming interface interactions. Here, we invent a hydroplastic foaming method to di...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673734/ https://www.ncbi.nlm.nih.gov/pubmed/33177097 http://dx.doi.org/10.1126/sciadv.abd4045 |
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author | Pang, Kai Song, Xian Xu, Zhen Liu, Xiaoting Liu, Yingjun Zhong, Liang Peng, Yuxin Wang, Jianxiang Zhou, Jingzhi Meng, Fanxu Wang, Jian Gao, Chao |
author_facet | Pang, Kai Song, Xian Xu, Zhen Liu, Xiaoting Liu, Yingjun Zhong, Liang Peng, Yuxin Wang, Jianxiang Zhou, Jingzhi Meng, Fanxu Wang, Jian Gao, Chao |
author_sort | Pang, Kai |
collection | PubMed |
description | Direct foaming from solids is the most efficient method to fabricate porous materials. However, the ideal foaming fails to prepare aerogel of nanoparticles because the plasticity of their solids is denied by the overwhelming interface interactions. Here, we invent a hydroplastic foaming method to directly convert graphene oxide solids into aerogel bulks and microarrays, replacing the prevalent freezing method. The water intercalation plasticizes graphene oxide solids and enables direct foaming instead of catastrophic fragmentation. The bubble formation follows a general crystallization rule and allows nanometer-precision control of cellular wall thickness down to 8 nm. Bubble clustering generates hyperboloid structures with seamless basal connection and renders graphene aerogels with ultrarobust mechanical stability against extreme deformations. We exploit graphene aerogel to fabricate tactile microarray sensors with ultrasensitivity and ultrastability, achieving a high accuracy (80%) in artificially intelligent touch identification that outperforms human fingers (30%). |
format | Online Article Text |
id | pubmed-7673734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76737342020-11-24 Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors Pang, Kai Song, Xian Xu, Zhen Liu, Xiaoting Liu, Yingjun Zhong, Liang Peng, Yuxin Wang, Jianxiang Zhou, Jingzhi Meng, Fanxu Wang, Jian Gao, Chao Sci Adv Research Articles Direct foaming from solids is the most efficient method to fabricate porous materials. However, the ideal foaming fails to prepare aerogel of nanoparticles because the plasticity of their solids is denied by the overwhelming interface interactions. Here, we invent a hydroplastic foaming method to directly convert graphene oxide solids into aerogel bulks and microarrays, replacing the prevalent freezing method. The water intercalation plasticizes graphene oxide solids and enables direct foaming instead of catastrophic fragmentation. The bubble formation follows a general crystallization rule and allows nanometer-precision control of cellular wall thickness down to 8 nm. Bubble clustering generates hyperboloid structures with seamless basal connection and renders graphene aerogels with ultrarobust mechanical stability against extreme deformations. We exploit graphene aerogel to fabricate tactile microarray sensors with ultrasensitivity and ultrastability, achieving a high accuracy (80%) in artificially intelligent touch identification that outperforms human fingers (30%). American Association for the Advancement of Science 2020-11-11 /pmc/articles/PMC7673734/ /pubmed/33177097 http://dx.doi.org/10.1126/sciadv.abd4045 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Pang, Kai Song, Xian Xu, Zhen Liu, Xiaoting Liu, Yingjun Zhong, Liang Peng, Yuxin Wang, Jianxiang Zhou, Jingzhi Meng, Fanxu Wang, Jian Gao, Chao Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors |
title | Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors |
title_full | Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors |
title_fullStr | Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors |
title_full_unstemmed | Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors |
title_short | Hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors |
title_sort | hydroplastic foaming of graphene aerogels and artificially intelligent tactile sensors |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673734/ https://www.ncbi.nlm.nih.gov/pubmed/33177097 http://dx.doi.org/10.1126/sciadv.abd4045 |
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