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Photodynamic Pattern Memory Surfaces with Responsive Wrinkled and Fluorescent Patterns.

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  • 1School of Chemistry & Chemical Engineering Frontiers Science Center for Transformative Molecules State Key Laboratory for Metal Matrix Composite Materials Shanghai Jiao Tong University Shanghai 200240 P. R. China.

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Researchers developed a smart material with tunable patterns for advanced information security. This novel bilayer system uses near-infrared light and UV radiation to control fluorescent wrinkling patterns, enhancing data storage capacity.

Keywords:
dynamic wrinklesnear‐infrared regulationpattern memory surfacesreversible fluorescencesupramolecular network

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Area of Science:

  • Smart Materials
  • Supramolecular Chemistry
  • Surface Science

Background:

  • Reversible pattern systems with tunable morphology are crucial for smart materials.
  • Current methods for creating these surfaces are often complex and chemically intensive.

Purpose of the Study:

  • To develop a novel bilayer system for dual-pattern memory using a multi-responsive supramolecular network.
  • To achieve concurrent regulation of fluorescence emission and wrinkled structures via non-invasive stimuli.

Main Methods:

  • Integration of a functionalized base with a supramolecular network of aggregation-induced emission luminogens (AIEgens) and poly(St-co-Dm) copolymers.
  • Utilizing near-infrared (NIR) radiation for temporal pattern erasing through AIEgen motion and photo-to-thermal expansion.
  • Employing 365 nm UV radiation for independent regulation of fluorescent patterns via photocyclization.

Main Results:

  • Demonstration of a dual-pattern memory system controlled by NIR and UV stimuli.
  • Successful temporal erasing of fluorescent wrinkling patterns using NIR input.
  • Independent regulation of fluorescent patterns through UV-induced photocyclization.

Conclusions:

  • The developed strategy offers a new approach for creating smart memory interfaces.
  • The fluorescent wrinkling patterns enhance information security and storage capacity.
  • This work advances the field of stimuli-responsive smart materials.