A Rapidly Assembled and Camouflage‐Monitoring‐protection Integrated Modular Unit

Abstract 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.