Chrome Extension
WeChat Mini Program
Use on ChatGLM

Structural Color-Based Smart Liquid Windows Address the Tradeoff Between High Optical Transparency and Brilliant Color

ADVANCED FUNCTIONAL MATERIALS(2024)

Cited 0|Views6
No score
Abstract
It is challenging for traditional smart windows to possess both high optical transparency (90%, 380-780 nm) and brilliant colors since they are usually contradictory to each other. Here, novel liquid thermal-responsive smart windows (TSWs) exhibiting high optical transparency (94%), bright iridescent forward scattering structural color, and extremely weak reflective structural colors are fabricated by constructing a refractive index (RI)-matched non-close-packing ordered structure with large lattice distances and thus unique light diffraction mechanisms. The transmittance (24-94%) and dual-mode structural color saturation (1-55 times) can be dynamically regulated by simply altering temperatures (20-100 degrees C), which can be attributed to the temperature-dependent light diffraction and scattering efficiency. A new information encryption-decryption technique is developed by combining TSWs with outstanding shapeability, recyclability, and flowability. The information is hidden under normal conditions, while 76 different pieces of information can be decrypted in programmable ways under different stimuli, showing their potential in anti-counterfeiting and information encryption. A novel liquid thermal-responsive smart window (TSW) is developed by constructing a refractive index-matched non-close-packing ordered structure with large lattice distances and thus unique light diffraction mechanisms. TSW exhibits high optical transparency (94%), bright iridescent forward scattering structural color, and extremely weak reflective structural colors at room temperature and can be dynamically regulated by simply altering temperatures.image
More
Translated text
Key words
dynamic transparency,multilevel encryption,smart windows,structural colors,thermal-responsive
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined