Dynamic morphological transformations in soft architected materials via buckling instability encoded heterogeneous magnetization

Neng Xia, Dongdong Jin (), Chengfeng Pan, Jiachen Zhang, Zhengxin Yang, Lin Su, Jinsheng Zhao, Liu Wang and Li Zhang ()
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Neng Xia: The Chinese University of Hong Kong
Dongdong Jin: The Chinese University of Hong Kong
Chengfeng Pan: The Chinese University of Hong Kong
Jiachen Zhang: City University of Hong Kong, Kowloon
Zhengxin Yang: The Chinese University of Hong Kong
Lin Su: The Chinese University of Hong Kong
Jinsheng Zhao: The Chinese University of Hong Kong
Liu Wang: University of Science and Technology of China
Li Zhang: The Chinese University of Hong Kong

Nature Communications, 2022, vol. 13, issue 1, 1-15

Abstract: Abstract The geometric reconfigurations in three-dimensional morphable structures have a wide range of applications in flexible electronic devices and smart systems with unusual mechanical, acoustic, and thermal properties. However, achieving the highly controllable anisotropic transformation and dynamic regulation of architected materials crossing different scales remains challenging. Herein, we develop a magnetic regulation approach that provides an enabling technology to achieve the controllable transformation of morphable structures and unveil their dynamic modulation mechanism as well as potential applications. With buckling instability encoded heterogeneous magnetization profiles inside soft architected materials, spatially and temporally programmed magnetic inputs drive the formation of a variety of anisotropic morphological transformations and dynamic geometric reconfiguration. The introduction of magnetic stimulation could help to predetermine the buckling states of soft architected materials, and enable the formation of definite and controllable buckling states without prolonged magnetic stimulation input. The dynamic modulations can be exploited to build systems with switchable fluidic properties and are demonstrated to achieve capabilities of fluidic manipulation, selective particle trapping, sensitivity-enhanced biomedical analysis, and soft robotics. The work provides new insights to harness the programmable and dynamic morphological transformation of soft architected materials and promises benefits in microfluidics, programmable metamaterials, and biomedical applications.

Date: 2022
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DOI: 10.1038/s41467-022-35212-6

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