材料科学
加密
等离子体
纳米技术
高分子科学
计算机科学
计算机安全
量子力学
物理
作者
Xian Tang,Shuangjie Wang,Guanyu Lu,Guanyu Lu,Zechen Liang,Yi Zhao,Zichao Shen,Laju Bu,Guanghao Lu,Guanghao Lu
标识
DOI:10.1002/adem.202500630
摘要
Structural color in thin films offers promising applications in optical encryption and anti‐counterfeiting. The conventional solution‐based methods struggle with continuous thickness control and patterning compatibility. Multicolor modulation of single‐matter films is achieved by introducing a soft plasma etching technique that can uniformly thin the films. Combined with an improved transfer matrix method that can accurately simulate the thin‐film interference effect, the film color can be simulated. It not only enables the precise modulation of film color, but also establishes a data set for neural networks. The addition of neural networks extends the application of structural color and the application of information anti‐counterfeiting and encryption is demonstrated (with 99% accuracy). This dual approach of physical etching and intelligent design establishes a powerful platform for structural color engineering, opening up possibilities for secure imaging and dynamic optical devices.
科研通智能强力驱动
Strongly Powered by AbleSci AI