Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing

Though thermal drawing methods are attractive for fabricating fiber-based sensor devices, existing methods allow limited access to low viscosity and low modulus materials. Here, the authors demonstrate a two-step soluble-core fiber fabrication method with wide applicability to soft polymer materials...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Mengxiao Chen, Zhe Wang, Qichong Zhang, Zhixun Wang, Wei Liu, Ming Chen, Lei Wei
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/afb44dc70f734910bcba79bb8dcc3ff3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:afb44dc70f734910bcba79bb8dcc3ff3
record_format	dspace
spelling	oai:doaj.org-article:afb44dc70f734910bcba79bb8dcc3ff32021-12-02T13:15:06ZSelf-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing10.1038/s41467-021-21729-92041-1723https://doaj.org/article/afb44dc70f734910bcba79bb8dcc3ff32021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21729-9https://doaj.org/toc/2041-1723Though thermal drawing methods are attractive for fabricating fiber-based sensor devices, existing methods allow limited access to low viscosity and low modulus materials. Here, the authors demonstrate a two-step soluble-core fiber fabrication method with wide applicability to soft polymer materials.Mengxiao ChenZhe WangQichong ZhangZhixun WangWei LiuMing ChenLei WeiNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mengxiao Chen Zhe Wang Qichong Zhang Zhixun Wang Wei Liu Ming Chen Lei Wei Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing
description	Though thermal drawing methods are attractive for fabricating fiber-based sensor devices, existing methods allow limited access to low viscosity and low modulus materials. Here, the authors demonstrate a two-step soluble-core fiber fabrication method with wide applicability to soft polymer materials.
format	article
author	Mengxiao Chen Zhe Wang Qichong Zhang Zhixun Wang Wei Liu Ming Chen Lei Wei
author_facet	Mengxiao Chen Zhe Wang Qichong Zhang Zhixun Wang Wei Liu Ming Chen Lei Wei
author_sort	Mengxiao Chen
title	Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing
title_short	Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing
title_full	Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing
title_fullStr	Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing
title_full_unstemmed	Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing
title_sort	self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/afb44dc70f734910bcba79bb8dcc3ff3
work_keys_str_mv	AT mengxiaochen selfpoweredmultifunctionalsensingbasedonsuperelasticfibersbysolublecorethermaldrawing AT zhewang selfpoweredmultifunctionalsensingbasedonsuperelasticfibersbysolublecorethermaldrawing AT qichongzhang selfpoweredmultifunctionalsensingbasedonsuperelasticfibersbysolublecorethermaldrawing AT zhixunwang selfpoweredmultifunctionalsensingbasedonsuperelasticfibersbysolublecorethermaldrawing AT weiliu selfpoweredmultifunctionalsensingbasedonsuperelasticfibersbysolublecorethermaldrawing AT mingchen selfpoweredmultifunctionalsensingbasedonsuperelasticfibersbysolublecorethermaldrawing AT leiwei selfpoweredmultifunctionalsensingbasedonsuperelasticfibersbysolublecorethermaldrawing
_version_	1718393406258937856

Self-powered multifunctional sensing based on super-elastic fibers by soluble-core thermal drawing

Ejemplares similares