Stiff Shape Memory Polymers for High-Resolution Reconfigurable Nanophotonics

Wang Zhang, Hao Wang, Alvin T.L. Tan, Anupama Sargur Ranganath, Biao Zhang, Hongtao Wang, John You En Chan, Qifeng Ruan, Hailong Liu, Son Tung Ha, Dong Wang, Venkat K. Ravikumar, Hong Yee Low, Joel K.W. Yang

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Reconfigurable metamaterials require constituent nanostructures to demonstrate switching of shapes with external stimuli. Yet, a longstanding challenge is in overcoming stiction caused by van der Waals forces in the deformed configuration, which impedes shape recovery. Here, we introduce stiff shape memory polymers. This designer material has a storage modulus of ∼5.2 GPa at room temperature and ∼90 MPa in the rubbery state at 150 °C, 1 order of magnitude higher than those in previous reports. Nanopillars with diameters of ∼400 nm and an aspect ratio as high as ∼10 were printed by two-photon lithography. Experimentally, we observe shape recovery as collapsed and touching structures overcome stiction to stand back up. We develop a theoretical model to explain the recoverability of these sub-micrometer structures. Reconfigurable structural color prints with a resolution of 21150 dots per inch and holograms are demonstrated, indicating potential applications of the stiff shape memory polymers in high-resolution reconfigurable nanophotonics.

Original languageEnglish
Pages (from-to)8917-8924
Number of pages8
JournalNano Letters
Volume22
Issue number22
DOIs
StatePublished - 23 Nov 2022
Externally publishedYes

Keywords

  • nanophotonics
  • reconfigurable structures
  • sub-micrometer 3D printing
  • two-photon lithography
  • van der Waals forces

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