Robust Shape‐Memory Chiral Photonic Elastomers With Multi‐Stimuli Responsiveness

Stimuli-responsive materials are pivotal for advanced photonics, yet achieving ones with multiple-dimensional manipulation and high robustness remains a challenge. Here, we present a shape-memory chiral photonic platform with multi-stimuli-responsiveness by sophisticatedly controlling the crosslinking chemistry and density of a triplet-triplet annihilation upconversion featured cholesteric elastomer. A thermally resettable shape memory effect on structural colors is induced by force in the elastomer with an oligomer-lowered crosslinking density, which also exhibits exceptional stretchability and enhanced optics, a remarkable 259 nm blueshift over 215% strain. The covalent incorporation of annihilators secures homogeneity and stability of the system. The material possesses programmable optical properties, including chirally, thermally, and mechanically regulated structural colors and photoactivated luminescence, enabling high-dimensional information encryption with accessibility to scalable spray-printing. This work provides a versatile material strategy for cutting-edge optical encryption and paves the way for next-generation wearable sensors, adaptive optical devices, and interactive camouflage technologies.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-05-02
DOI
https://doi.org/10.1002/adma.73257
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Shape‐Memory Chiral Photonic Elastomers With Multi‐Stimuli Responsiveness

Y T Li, Zhen‐Peng Song, Bingxiang Li, Jin Wang et al.
Advanced Materials
Advanced Materials and Mechanics
article

Robust Shape‐Memory Chiral Photonic Elastomers With Multi‐Stimuli Responsiveness

Y T Li, Zhen‐Peng Song, Bingxiang Li, Jin Wang, Changqing Ye, Lin Li, Yun Ma, Yan-Qing Lu, Willie Forkpah Deleau
article en

Abstract

Stimuli-responsive materials are pivotal for advanced photonics, yet achieving ones with multiple-dimensional manipulation and high robustness remains a challenge. Here, we present a shape-memory chiral photonic platform with multi-stimuli-responsiveness by sophisticatedly controlling the crosslinking chemistry and density of a triplet-triplet annihilation upconversion featured cholesteric elastomer. A thermally resettable shape memory effect on structural colors is induced by force in the elastomer with an oligomer-lowered crosslinking density, which also exhibits exceptional stretchability and enhanced optics, a remarkable 259 nm blueshift over 215% strain. The covalent incorporation of annihilators secures homogeneity and stability of the system. The material possesses programmable optical properties, including chirally, thermally, and mechanically regulated structural colors and photoactivated luminescence, enabling high-dimensional information encryption with accessibility to scalable spray-printing. This work provides a versatile material strategy for cutting-edge optical encryption and paves the way for next-generation wearable sensors, adaptive optical devices, and interactive camouflage technologies.

Advanced Materials
Suzhou University of Science and Technology (CN), Nanjing University of Posts and Telecommunications (CN), Collaborative Innovation Center of Advanced Microstructures (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China
Openalex Percentile: Top 14%
Advanced Materials and Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.