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Intelligent Shape-Morphing Micromachines

Intelligent machines are capable of switching shape configurations to adapt to changes in dynamic environments and thus have offered the potentials in many applications such as precision medicine, lab on a chip, and bioengineering. Even though the developments of smart materials and advanced micro/n...

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Detalles Bibliográficos
Autores principales: Chen, Qianying, Lv, Pengyu, Huang, Jianyong, Huang, Tian-Yun, Duan, Huiling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139332/
https://www.ncbi.nlm.nih.gov/pubmed/34056618
http://dx.doi.org/10.34133/2021/9806463
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author Chen, Qianying
Lv, Pengyu
Huang, Jianyong
Huang, Tian-Yun
Duan, Huiling
author_facet Chen, Qianying
Lv, Pengyu
Huang, Jianyong
Huang, Tian-Yun
Duan, Huiling
author_sort Chen, Qianying
collection PubMed
description Intelligent machines are capable of switching shape configurations to adapt to changes in dynamic environments and thus have offered the potentials in many applications such as precision medicine, lab on a chip, and bioengineering. Even though the developments of smart materials and advanced micro/nanomanufacturing are flouring, how to achieve intelligent shape-morphing machines at micro/nanoscales is still significantly challenging due to the lack of design methods and strategies especially for small-scale shape transformations. This review is aimed at summarizing the principles and methods for the construction of intelligent shape-morphing micromachines by introducing the dimensions, modes, realization methods, and applications of shape-morphing micromachines. Meanwhile, this review highlights the advantages and challenges in shape transformations by comparing micromachines with the macroscale counterparts and presents the future outlines for the next generation of intelligent shape-morphing micromachines.
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spelling pubmed-81393322021-05-27 Intelligent Shape-Morphing Micromachines Chen, Qianying Lv, Pengyu Huang, Jianyong Huang, Tian-Yun Duan, Huiling Research (Wash D C) Review Article Intelligent machines are capable of switching shape configurations to adapt to changes in dynamic environments and thus have offered the potentials in many applications such as precision medicine, lab on a chip, and bioengineering. Even though the developments of smart materials and advanced micro/nanomanufacturing are flouring, how to achieve intelligent shape-morphing machines at micro/nanoscales is still significantly challenging due to the lack of design methods and strategies especially for small-scale shape transformations. This review is aimed at summarizing the principles and methods for the construction of intelligent shape-morphing micromachines by introducing the dimensions, modes, realization methods, and applications of shape-morphing micromachines. Meanwhile, this review highlights the advantages and challenges in shape transformations by comparing micromachines with the macroscale counterparts and presents the future outlines for the next generation of intelligent shape-morphing micromachines. AAAS 2021-05-12 /pmc/articles/PMC8139332/ /pubmed/34056618 http://dx.doi.org/10.34133/2021/9806463 Text en Copyright © 2021 Qianying Chen et al. https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0).
spellingShingle Review Article
Chen, Qianying
Lv, Pengyu
Huang, Jianyong
Huang, Tian-Yun
Duan, Huiling
Intelligent Shape-Morphing Micromachines
title Intelligent Shape-Morphing Micromachines
title_full Intelligent Shape-Morphing Micromachines
title_fullStr Intelligent Shape-Morphing Micromachines
title_full_unstemmed Intelligent Shape-Morphing Micromachines
title_short Intelligent Shape-Morphing Micromachines
title_sort intelligent shape-morphing micromachines
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139332/
https://www.ncbi.nlm.nih.gov/pubmed/34056618
http://dx.doi.org/10.34133/2021/9806463
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