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Energy migration control of multi-modal emissions in an Er3+ doped nanostructure toward information encryption and deep learning decoding

Authors: Song YLu MMandl GAXie YSun GChen JLiu XCapobianco JASun L


Affiliations

1 Shanghai University, School of Materials Science and Engineering, CHINA.
2 Shanghai University, School of Communication and Information Engineering, CHINA.
3 Concordia University, Department of Chemistry and Biochemistry and Centre for NanoScience Research, Montreal, CANADA.
4 Shanghai University, College of Sciences, CHINA.
5 Shanghai University, School of Materials Science and Engineering, Shanghai, CHINA.
6 Fudan University, Academy for Engineering and Technology, CHINA.
7 Concordia University, Department of Chemistry and Biochemistry and Centre for NanoScience Research, CANADA.
8 Shanghai University, Research Center of Nano Science and Technology, No. 99 Shangda Road, 200444, Shanghai, CHINA.

Description

Modulating the emission wavelengths of materials has always been a primary focus of fluorescence technology. Nanocrystals (NCs) doped with lanthanide ions with rich energy levels can produce a variety of emissions at different excitation wavelengths. However, the control of multi-modal emissions of these ions has remained a challenge. Herein, we present a new composition of Er 3+ -based lanthanide NCs with color-switchable output under irradiation with 980, 808, or 1535 nm light for information security. The variation of excitation wavelengths changes the intensity ratio of visible (Vis)/near-infrared (NIR-II) emissions. Taking advantage of the Vis/NIR-II multi-modal emissions of NCs and deep learning, we successfully demonstrated the storage and decoding of visible light information in pork tissue.


Keywords: deep learninginformation encodinglanthanide-doped nanocrystalsluminescence


Links

PubMed: https://pubmed.ncbi.nlm.nih.gov/34476872/

DOI: 10.1002/anie.202109532