Zhao Yue, Tan Shujuan, Yu Jiwen, Yu Ruoling, Xu Tong, Zheng Jing, Ji Guangbin
College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, P. R. China.
Department of Chemistry and Materials Science, College of Science, Nanjing Forestry University, Nanjing, 210037, P. R. China.
Adv Mater. 2025 Feb;37(6):e2412845. doi: 10.1002/adma.202412845. Epub 2024 Dec 17.
Optical-electromagnetic compatible devices are urgently required in intelligent building monitors and cross-band protection. Meanwhile, the insufficient systematicness and semi-empirical attempts significantly limit the prosperity of cross-band materials, causing enormous challenges for deviceization and material database construction. Herein, the systematical component-deviceization-machine learning prediction-array construction strategy is attempted to solve the bottleneck issues. A luminance-triggered camouflage-monitoring-protection triune integrated modular unit (IMU) is hierarchically encapsulated to simultaneously achieve efficient anti-electromagnetic interference (EMI), light-absorbing, quick gradient-colorization response. Moreover, an illumination intensity dataset and a surrogate model based on fully connected neural network fitting (FCNN-fitting) are constructed, which accurately predicts the light-absorbing property of IMUs and can be instructional for material selection. The IMUs are specifically assembled into a 4*4 array, aiming at multi-scenario application of programmable display, camouflage pattern, surface conformality, and rapid replaceability. This work paves the path and provides a promising strategy for optical-electromagnetic compatibility and material genetics-deviceization-array systematization.
智能建筑监测和跨频段防护领域迫切需要光电磁兼容器件。同时，系统性不足和半经验性尝试严重限制了跨频段材料的发展，给器件化和材料数据库建设带来了巨大挑战。在此，尝试采用系统组件 - 器件化 - 机器学习预测 - 阵列构建策略来解决瓶颈问题。一种亮度触发的伪装 - 监测 - 防护三位一体集成模块化单元（IMU）被分层封装，以同时实现高效抗电磁干扰（EMI）、光吸收、快速梯度变色响应。此外，构建了一个光照强度数据集和基于全连接神经网络拟合（FCNN拟合）的替代模型，该模型能准确预测IMU的光吸收特性，可为材料选择提供指导。IMU被专门组装成一个4×4阵列，旨在实现可编程显示、伪装图案、表面保形性和快速可替换性的多场景应用。这项工作为光电磁兼容性和材料基因 - 器件化 - 阵列系统化铺平了道路，并提供了一个有前景的策略。
