
Qi Ge
Articles
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Jul 30, 2024 |
mdpi.com | Qi Ge |Jingyong Wang |Cheng Liu |Xiaohong Wang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Jul 22, 2024 |
onlinelibrary.wiley.com | Chang Liu |Yujiao Bo |Qi Ge |Kostya Novoselov
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description lpor202400615-sup-0001-SuppMat.docx16.4 MB Supporting Information References 1, , , , , , Science 2024, 383, 1455. 2, , , , , , , , , Adv. Funct. Mater. 2024, 34, 2309500. 3, , , , , , ACS Nano 2023, 17, 23194. 4, , , , , , , , J. Mater. Chem. A 2024, 12, 3589. 5, , , , , J. Colloid Interface Sci. 2024, 653, 56. 6, , , , , , , , Adv. Mater. 2023, 35, 2202193.
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Jul 12, 2024 |
mdpi.com | Peng Liu |Qi Ge
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Peng Liu Peng Liu Scilit Preprints.org Google Scholar and Qi Ge Qi Ge Scilit Preprints.org Google Scholar * MOE Key Laboratory of Deep Earth Science and Engineering, School of Architecture and Environment, Sichuan University, Chengdu 610065, China *Author to whom correspondence should be addressed. Appl. Sci.
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May 17, 2024 |
sciencedirect.com | Chao Yuan |Qi Ge
Stimuli-responsive smart materials are a class of materials that exhibit autonomous responses to external stimuli. These materials demonstrate intelligent sensing, detection, and response to external physical or chemical signals, while also modifying their shape, structure, or properties. In addition, they possess capabilities such as self-monitoring, self-adjustment, and self-healing [1], [2], [3], [4], [5].
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Mar 13, 2024 |
nature.com | Yaohui Wang |Jian He |Qi Ge
AbstractActive origami capable of precise deployment control, enabling on-demand modulation of its properties, is highly desirable in multi-scenario and multi-task applications. While 4D printing with shape memory composites holds great promise to realize such active origami, it still faces challenges such as low load-bearing capacity and limited transformable states.
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