Stretchable Cephalopod‐Inspired Multimodal Camouflage Systems

Abstract

Soft, mechanically deformable materials and systems that can, on demand, manipulate light propagation within both the visible and infrared (IR) regions of the electromagnetic spectrum are desirable for applications that include sensing, optoelectronics, robotics, energy conservation, and thermal management. However, the development of such technologies remains exceptionally difficult, with relatively few examples reported to date. Herein, this challenge is addressed by engineering cephalopod‐inspired adaptive camouflage platforms with multispectral functionality. First, stretchable copolymer membranes that feature outstanding unstrained protonic conductivities of up to ≈90 mS cm−1, demonstrate increases of ≈80% in their conductivities at strains of 200%, and exhibit no loss in electrical performance even under extreme elongations of 500% are described. Next, the membranes are used for the fabrication of mechanically and electrically actuated camouflage devices that function over an unprecedented spectral window; can simultaneously modulate their visible and IR specular‐to‐diffuse transmittance ratios by >3000‐fold and >4‐fold, respectively; feature rapid response times of ≈0.6 s; and exhibit good performance after repeated actuation. These findings may afford new scientific and technological opportunities not only for adaptive optics and photonics but also for any platform that can benefit from simultaneously controlling visible light and heat.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 04, 2020
Source ID
10.1002/adma.201905717

Entities

People

  • Alon Gorodetsky
  • Chengyi Xu
  • Melvin Colorado Escobar

Organizations

  • Air Force Office of Scientific Research
  • Defense Advanced Research Projects Agency
  • University of California
  • University of California, Irvine

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.
  • Polymer Science and Technology

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Microelectronics