Light-programmable mechanical computing via polyaniline composite film
Abstract
Abstract Mechanical computing represents a highly promising paradigm for environment-adaptive information processing. However, existing implementations are generally constrained by limited architectural scalability, and their modes of application in practical scenarios remain insufficiently defined. Here, we develop a light-programmable mechanical computing system that not only performs scalable logic operations but also enables environment-adaptive optical camouflage. The system is based on a polyaniline composite film (PCF) that integrates light-responsive expansion–contraction elements with a flexible conductive layer. Light illumination dynamically modulates the conductive pathways, giving rise to optically controlled single-pole single-throw (SPST) and single-pole double-throw (SPDT) relays that reconfigure signal transmission routes. Interconnecting these relays enables the construction of basic logic gates and 2-bit full-adder circuits, establishing a scalable paradigm for light-programmable mechanical computation. Moreover, we implement an adaptive camouflage function that senses environmental textures and generates matching optical patterns, demonstrating potential for intelligent skin applications capable of environmental interaction. This work establishes a light-programmable, pathway-reconfigurable mechanical computing framework, expanding possibilities for autonomous and adaptive intelligent systems.
Article Details
Authors (17)
Xiunan Yan
Yixiang Li
Yichen Zhao
Chen Pan
Department of Experimental Genome Research, Research Institute for Microbial Diseases, The University of Osaka
Shengnan Yan
Dong Yang
Gong-Jie Ruan
Hang Zhao
Fanqing Chen
Xing-Jian Yangdong
Pengfei Wang
Key Laboratory of Photochemical Conversion and Optoelectronic Materials
Wentao Yu
Institute of Interdisciplinary Physical Sciences, School of Physics
Yuekun Yang
Cong Wang
Key Laboratory of Preclinical Study for New Drugs of Gansu Province, School of Basic Medical Sciences & Research Unit of Peptide Science, Chinese Academy of Medical Sciences, 2019RU066
Bin Cheng
Department of Periodontology, Hospital of Stomatology, Sun Yat-Sen University
Shi-Jun Liang
Feng Miao