Wang Yifei, Yuan Cong-Long, Huang Wenbin, Sun Pei-Zhi, Liu Binghui, Hu Hong-Long, Zheng Zhigang, Lu Yan-Qing, Li Quan
School of Physics, East China University of Science and Technology, Shanghai, 200237, China.
School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Adv Mater. 2023 Mar;35(13):e2211521. doi: 10.1002/adma.202211521. Epub 2023 Feb 17.
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.
通过人工干预软物质的自组织过程以获得所需的超结构是一项复杂但意义重大的工程。具体而言,由可重构且对刺激有响应的软材料完全或部分制成的光学元件,即所谓的软光子学,有望在各个领域形成多功能平台;然而,规模有限、光谱适应性窄以及稳定性差仍是严峻挑战。在此,我们开发了一种简便方法,通过像素化全息表面浮雕对向列型液晶的光学拼图进行编程,开启了具有定制功能的可编程软材料制造时代。建立了多尺度拼图并赋予其前所未有的稳定性和耐久性,进一步勾勒出定制自适应光子结构的前瞻性框架。这项工作展示了一种直接组装软物质的可靠且高效的方法,释放了长期以来寻求的刺激响应软系统的全部潜力,并为激发下一代软光子学及相关领域提供了机会。