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A dynamically reprogrammable surface with self-evolving shape morphing.
Bai, Yun; Wang, Heling; Xue, Yeguang; Pan, Yuxin; Kim, Jin-Tae; Ni, Xinchen; Liu, Tzu-Li; Yang, Yiyuan; Han, Mengdi; Huang, Yonggang; Rogers, John A; Ni, Xiaoyue.
  • Bai Y; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA.
  • Wang H; Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA. helingwang1@gmail.com.
  • Xue Y; Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA. helingwang1@gmail.com.
  • Pan Y; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA. helingwang1@gmail.com.
  • Kim JT; Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing, China. helingwang1@gmail.com.
  • Ni X; Institute of Flexible Electronics Technology of THU Jiaxing, Zhejiang, China. helingwang1@gmail.com.
  • Liu TL; Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA.
  • Yang Y; Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.
  • Han M; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
  • Huang Y; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA.
  • Rogers JA; Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
  • Ni X; Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Nature ; 609(7928): 701-708, 2022 09.
Article en En | MEDLINE | ID: mdl-36131035
ABSTRACT
Dynamic shape-morphing soft materials systems are ubiquitous in living organisms; they are also of rapidly increasing relevance to emerging technologies in soft machines1-3, flexible electronics4,5 and smart medicines6. Soft matter equipped with responsive components can switch between designed shapes or structures, but cannot support the types of dynamic morphing capabilities needed to reproduce natural, continuous processes of interest for many applications7-24. Challenges lie in the development of schemes to reprogram target shapes after fabrication, especially when complexities associated with the operating physics and disturbances from the environment can stop the use of deterministic theoretical models to guide inverse design and control strategies25-30. Here we present a mechanical metasurface constructed from a matrix of filamentary metal traces, driven by reprogrammable, distributed Lorentz forces that follow from the passage of electrical currents in the presence of a static magnetic field. The resulting system demonstrates complex, dynamic morphing capabilities with response times within 0.1 second. Implementing an in situ stereo-imaging feedback strategy with a digitally controlled actuation scheme guided by an optimization algorithm yields surfaces that can follow a self-evolving inverse design to morph into a wide range of three-dimensional target shapes with high precision, including an ability to morph against extrinsic or intrinsic perturbations. These concepts support a data-driven approach to the design of dynamic soft matter, with many unique characteristics.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article