Activate Reconstruction from Sb<sup>3+</sup>/Ho<sup>3+</sup> Synergistic Doping Nanofibers for Interactive Information Encryption and Customized Display

Abstract Driven by the escalating demand for cutting‐edge materials in interactive encryption and customized display, the optimization of excitonic coupling mechanisms in perovskite‐based luminescent systems has emerged as a pivotal focus in advanced materials research. Inspired by synergistic doping (SD), a photoswitchable energy transfer channel is realized utilizing the UV‐responsive Cs 2 NaInCl 6 : Sb 3+ ‐Ho 3+ (CNIC: Sb‐Ho) phosphor. Benefiting from the self‐trapped exciton of Sb 3+ , the visible blue luminescence of Ho 3+ achieves excitation reconstruction through SD, with a sensitization coefficient from Sb 3+ to Ho 3+ in CNIC reaching two orders of magnitude. Notably, CNIC: Sb‐Ho quantum dot is embedded into polyacrylonitrile (PAN) and polymethyl methacrylate (PMMA) fibers, respectively, and distinct color coordinate channels are created by altering the doping concentration and fiber matrix, thereby enabling the personalization and the customization of the desired colors with enhanced precision. Furthermore, excellent read‐in performance under UV irradiation is achieved by screen‐printing CNIC: Sb‐Ho microcrystal on nanofibers and combining it with ACSII code, which endows nanofibers with UV‐induced controllable shape programming behavior for interactive multidimensional information encryption. This work establishes an enhanced visual interaction framework through effectively integrating perovskite fluorescence tunability and nanofiber adaptive structures, thus opening new possibilities for the smart application of next‐generation optical encryption technology.

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Publication Details

Journal
Laser & Photonics Review
Published
2025-02-12
DOI
https://doi.org/10.1002/lpor.202402120
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19
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article

Activate Reconstruction from Sb3+/Ho3+ Synergistic Doping Nanofibers for Interactive Information Encryption and Customized Display

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3 citations
Laser & Photonics Review
Advanced Memory and Neural Computing
2.19
article

Activate Reconstruction from Sb3+/Ho3+ Synergistic Doping Nanofibers for Interactive Information Encryption and Customized Display

Lifan Shen, Xin Zhao, Xiaolong Dong, Hai Lin, Edwin Yue‐Bun Pun, Yuhang Zhang, Min Hu
article en
3 citations

Abstract

Abstract Driven by the escalating demand for cutting‐edge materials in interactive encryption and customized display, the optimization of excitonic coupling mechanisms in perovskite‐based luminescent systems has emerged as a pivotal focus in advanced materials research. Inspired by synergistic doping (SD), a photoswitchable energy transfer channel is realized utilizing the UV‐responsive Cs 2 NaInCl 6 : Sb 3+ ‐Ho 3+ (CNIC: Sb‐Ho) phosphor. Benefiting from the self‐trapped exciton of Sb 3+ , the visible blue luminescence of Ho 3+ achieves excitation reconstruction through SD, with a sensitization coefficient from Sb 3+ to Ho 3+ in CNIC reaching two orders of magnitude. Notably, CNIC: Sb‐Ho quantum dot is embedded into polyacrylonitrile (PAN) and polymethyl methacrylate (PMMA) fibers, respectively, and distinct color coordinate channels are created by altering the doping concentration and fiber matrix, thereby enabling the personalization and the customization of the desired colors with enhanced precision. Furthermore, excellent read‐in performance under UV irradiation is achieved by screen‐printing CNIC: Sb‐Ho microcrystal on nanofibers and combining it with ACSII code, which endows nanofibers with UV‐induced controllable shape programming behavior for interactive multidimensional information encryption. This work establishes an enhanced visual interaction framework through effectively integrating perovskite fluorescence tunability and nanofiber adaptive structures, thus opening new possibilities for the smart application of next‐generation optical encryption technology.

Laser & Photonics ReviewVol. 19(10)
City University of Hong Kong (HK), Beijing University of Technology (CN), Dalian Polytechnic University (CN)
Openalex Percentile: Top 14%
Advanced Memory and Neural Computing
2.19
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