Self-Adaptive Intelligent Metasurface Cloak System with Integrated Sensing Units

Area of Science:

• Electromagnetism and Optics
• Materials Science

Background:

• Metasurfaces are ultrathin metamaterials enabling unique light modulation effects.
• Existing multi-directional invisibility cloaks often lack integrated sensing capabilities.
• Current systems require discrete components, limiting adaptability and real-time performance.

Purpose of the Study:

• To propose and demonstrate an intelligent metasurface cloak system with integrated sensing.
• To achieve multi-directional cloaking by combining real-time direction sensing with adaptive feedback control.
• To overcome limitations of discrete components in current multi-directional cloak designs.

Main Methods:

• Designed a reconfigurable reflective meta-atom utilizing phase modulation.
• Integrated sensing units into the tunable metasurface, replacing some meta-atoms.
• Employed a field-programmable gate array (FPGA) for incident wave direction and frequency measurement, creating a closed-loop system.

Main Results:

• The metasurface cloak system successfully recognized different directions of incoming electromagnetic waves.
• Adaptive manipulation of the reflected phase of electromagnetic waves was achieved.
• The system demonstrated effective object concealment without human participation.

Conclusions:

• An intelligent metasurface cloak system with integrated sensing and adaptive feedback control has been successfully developed.
• This integrated approach enables effective multi-directional cloaking by dynamically responding to incident wave characteristics.
• The proposed system represents a significant advancement towards autonomous and versatile invisibility cloak technology.