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Programmable Jigsaw Puzzles of Soft Materials Enabled by Pixelated Holographic Surface Reliefs.
Wang, Yifei; Yuan, Cong-Long; Huang, Wenbin; Sun, Pei-Zhi; Liu, Binghui; Hu, Hong-Long; Zheng, Zhigang; Lu, Yan-Qing; Li, Quan.
Afiliação
  • Wang Y; School of Physics, East China University of Science and Technology, Shanghai, 200237, China.
  • Yuan CL; School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
  • Huang W; School of Physics, East China University of Science and Technology, Shanghai, 200237, China.
  • Sun PZ; School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
  • Liu B; School of Optoelectronic Science and Engineering and Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou, 215006, China.
  • Hu HL; School of Physics, East China University of Science and Technology, Shanghai, 200237, China.
  • Zheng Z; School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
  • Lu YQ; School of Physics, East China University of Science and Technology, Shanghai, 200237, China.
  • Li Q; School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Adv Mater ; 35(13): e2211521, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36744552
ABSTRACT
Manual intervention in the self-organization of soft matter to obtain a desired superstructure is a complex but significant project. Specifically, optical components made fully or partially from reconfigurable and stimuli-responsive soft materials, referred to as soft photonics, are poised to form versatile platforms in various areas; however, a limited scale, narrow spectral adaptability, and poor stability are still formidable challenges. Herein, a facile way is developed to program the optical jigsaw puzzle of nematic liquid crystals via pixelated holographic surface reliefs, leading to an era of manufacturing for programmable soft materials with tailored functions. Multiscale jigsaw puzzles are established and endowed with unprecedented stability and durability, further sketching a prospective framework toward customized adaptive photonic architectures. This work demonstrates a reliable and efficient approach for directly assembling soft matter, unlocking the long-sought full potential of stimuli-responsive soft systems, and providing opportunities to inspire the next generation of soft photonics and relevant areas.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article