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

Area of Science:

• Materials Science
• Optical Engineering
• Electromagnetics

Background:

• Optical-electromagnetic compatible devices are crucial for intelligent building monitoring and cross-band protection.
• Current cross-band material development is limited by a lack of systematic approaches and reliance on semi-empirical methods.
• Challenges exist in device fabrication and creating comprehensive material databases.

Purpose of the Study:

• To develop a systematic strategy for creating optical-electromagnetic compatible devices.
• To address bottlenecks in material development, device fabrication, and material database construction.
• To enable efficient anti-electromagnetic interference (EMI), light absorption, and rapid colorization functionalities.

Main Methods:

• A systematic component-deviceization-machine learning prediction-array construction strategy was employed.
• A luminance-triggered camouflage-monitoring-protection triune integrated modular unit (IMU) was hierarchically encapsulated.
• A fully connected neural network fitting (FCNN-fitting) model was developed using an illumination intensity dataset.

Main Results:

• The developed IMUs demonstrated simultaneous anti-EMI, light-absorbing, and quick gradient-colorization capabilities.
• The FCNN-fitting model accurately predicted IMU light-absorbing properties, offering guidance for material selection.
• A 4*4 array of IMUs was assembled, showcasing potential for programmable display, camouflage, and surface conformity.

Conclusions:

• The proposed strategy offers a promising solution for optical-electromagnetic compatibility.
• This work provides a pathway for systematizing material genetics, device fabrication, and array construction.
• The developed IMUs and methodology support multi-scenario applications requiring integrated optical and electromagnetic functionalities.