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Nanomagnetic encoding of shape-morphing micromachines

Author

Listed:
  • Jizhai Cui

    (ETH Zurich
    Paul Scherrer Institute)

  • Tian-Yun Huang

    (ETH Zurich)

  • Zhaochu Luo

    (ETH Zurich
    Paul Scherrer Institute)

  • Paolo Testa

    (ETH Zurich
    Paul Scherrer Institute)

  • Hongri Gu

    (ETH Zurich)

  • Xiang-Zhong Chen

    (ETH Zurich)

  • Bradley J. Nelson

    (ETH Zurich)

  • Laura J. Heyderman

    (ETH Zurich
    Paul Scherrer Institute)

Abstract

Shape-morphing systems, which can perform complex tasks through morphological transformations, are of great interest for future applications in minimally invasive medicine1,2, soft robotics3–6, active metamaterials7 and smart surfaces8. With current fabrication methods, shape-morphing configurations have been embedded into structural design by, for example, spatial distribution of heterogeneous materials9–14, which cannot be altered once fabricated. The systems are therefore restricted to a single type of transformation that is predetermined by their geometry. Here we develop a strategy to encode multiple shape-morphing instructions into a micromachine by programming the magnetic configurations of arrays of single-domain nanomagnets on connected panels. This programming is achieved by applying a specific sequence of magnetic fields to nanomagnets with suitably tailored switching fields, and results in specific shape transformations of the customized micromachines under an applied magnetic field. Using this concept, we have built an assembly of modular units that can be programmed to morph into letters of the alphabet, and we have constructed a microscale ‘bird’ capable of complex behaviours, including ‘flapping’, ‘hovering’, ‘turning’ and ‘side-slipping’. This establishes a route for the creation of future intelligent microsystems that are reconfigurable and reprogrammable in situ, and that can therefore adapt to complex situations.

Suggested Citation

  • Jizhai Cui & Tian-Yun Huang & Zhaochu Luo & Paolo Testa & Hongri Gu & Xiang-Zhong Chen & Bradley J. Nelson & Laura J. Heyderman, 2019. "Nanomagnetic encoding of shape-morphing micromachines," Nature, Nature, vol. 575(7781), pages 164-168, November.
  • Handle: RePEc:nat:nature:v:575:y:2019:i:7781:d:10.1038_s41586-019-1713-2
    DOI: 10.1038/s41586-019-1713-2
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    Citations

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    Cited by:

    1. Siqi An & Xiaowen Li & Zengrong Guo & Yi Huang & Yanlin Zhang & Hanqing Jiang, 2024. "Energy-efficient dynamic 3D metasurfaces via spatiotemporal jamming interleaved assemblies for tactile interfaces," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Neng Xia & Dongdong Jin & Chengfeng Pan & Jiachen Zhang & Zhengxin Yang & Lin Su & Jinsheng Zhao & Liu Wang & Li Zhang, 2022. "Dynamic morphological transformations in soft architected materials via buckling instability encoded heterogeneous magnetization," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Jiefeng Sun & Elisha Lerner & Brandon Tighe & Clint Middlemist & Jianguo Zhao, 2023. "Embedded shape morphing for morphologically adaptive robots," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Qiji Ze & Shuai Wu & Jize Dai & Sophie Leanza & Gentaro Ikeda & Phillip C. Yang & Gianluca Iaccarino & Ruike Renee Zhao, 2022. "Spinning-enabled wireless amphibious origami millirobot," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    5. Zemin Liu & Meng Li & Xiaoguang Dong & Ziyu Ren & Wenqi Hu & Metin Sitti, 2022. "Creating three-dimensional magnetic functional microdevices via molding-integrated direct laser writing," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    6. Dezhao Lin & Fan Yang & Di Gong & Ruihong Li, 2023. "Bio-inspired magnetic-driven folded diaphragm for biomimetic robot," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    7. Xun Zhao & Yihao Zhou & Jing Xu & Guorui Chen & Yunsheng Fang & Trinny Tat & Xiao Xiao & Yang Song & Song Li & Jun Chen, 2021. "Soft fibers with magnetoelasticity for wearable electronics," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    8. Wenbo Li & Huyue Chen & Zhiran Yi & Fuyi Fang & Xinyu Guo & Zhiyuan Wu & Qiuhua Gao & Lei Shao & Jian Xu & Guang Meng & Wenming Zhang, 2023. "Self-vectoring electromagnetic soft robots with high operational dimensionality," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    9. Ziyu Zhang & Binmin Wu & Yang Wang & Tianjun Cai & Mingze Ma & Chunyu You & Chang Liu & Guobang Jiang & Yuhang Hu & Xing Li & Xiang-Zhong Chen & Enming Song & Jizhai Cui & Gaoshan Huang & Suwit Kiravi, 2024. "Multilevel design and construction in nanomembrane rolling for three-dimensional angle-sensitive photodetection," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    10. Wenzhong Yan & Shuguang Li & Mauricio Deguchi & Zhaoliang Zheng & Daniela Rus & Ankur Mehta, 2023. "Origami-based integration of robots that sense, decide, and respond," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    11. Cornel Dillinger & Nitesh Nama & Daniel Ahmed, 2021. "Ultrasound-activated ciliary bands for microrobotic systems inspired by starfish," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    12. Yeongju Jung & Kangkyu Kwon & Jinwoo Lee & Seung Hwan Ko, 2024. "Untethered soft actuators for soft standalone robotics," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

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