Programmable Jigsaw Puzzles of Soft Materials Enabled by Pixelated Holographic Surface Reliefs

Author:

Wang Yifei12,Yuan Cong‐Long12,Huang Wenbin3,Sun Pei‐Zhi12,Liu Binghui12,Hu Hong‐Long4,Zheng Zhigang1,Lu Yan‐Qing5,Li Quan67ORCID

Affiliation:

1. School of Physics East China University of Science and Technology Shanghai 200237 China

2. School of Materials Science and Engineering East China University of Science and Technology Shanghai 200237 China

3. School of Optoelectronic Science and Engineering and Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou 215006 China

4. School of Chemistry and Molecular Engineering East China University of Science and Technology Shanghai 200237 China

5. National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and Manipulation Collaborative Innovation Center of Advanced Microstructures and College of Engineering and Applied Sciences Nanjing University Nanjing 210093 China

6. Institute of Advanced Materials and School of Chemistry and Chemical Engineering Nanjing 211189 China

7. Advanced Materials and Liquid Crystal Institute and Materials Science Graduate Program Kent State University Kent OH 44242 USA

Abstract

AbstractManual 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.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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