Keyword search (4,163 papers available)

"Chen J" Authored Publications:

Title Authors PubMed ID
1 Integrated metabolomics and metagenomics analysis identifies a unique signature characterizing metabolic syndrome Wannaiampikul S; Lee B; Chen J; Prentice KJ; Ayansola R; Xu A; Santosa S; Pantopoulos K; Sweeney G; 41794383
HKAP
2 Personalized biomarkers of multiscale functional alterations in temporal lobe epilepsy Xie K; Sahlas E; Ngo A; Chen J; Arafat T; Royer J; Zhou Y; Rodríguez-Cruces R; Dascal A; Caldairou B; Fadaie F; Barnett A; Audrain S; Larivière S; Caciagli L; Pana R; Weil AG; Grova C; Frauscher B; Schrader DV; Zhang Z; Concha L; Bernasconi A; Bernasconi N; Bernhardt BC; 41258102
SOH
3 An active bifunctional natural dye for stable all-solid-state organic batteries Yu Q; Hu Y; Deng S; Shakouri M; Chen J; Martins V; Nie HY; Huang Y; Zhao Y; Zaghib K; Sham TK; Li X; 40993135
PHYSICS
4 Upconversion Lanthanide-Based 2D Metal-Organic Frameworks for Multimode Information Encryption Chen J; Xie Y; Yang W; Sun R; Xing F; Mandl GA; Capobianco JA; Sun L; 40557752
CNSR
5 Upconversion Luminescence through Cooperative and Energy-Transfer Mechanisms in Yb3+ -Metal-Organic Frameworks Xie Y; Sun G; Mandl GA; Maurizio SL; Chen J; Capobianco JA; Sun L; 36437239
CNSR
6 Practical fixed-time trajectory tracking control of constrained wheeled mobile robots with kinematic disturbances Lu Q; Chen J; Wang Q; Zhang D; Sun M; Su CY; 35039151
ENCS
7 Energy migration control of multi-modal emissions in an Er3+ doped nanostructure toward information encryption and deep learning decoding Song Y; Lu M; Mandl GA; Xie Y; Sun G; Chen J; Liu X; Capobianco JA; Sun L; 34476872
ENCS
8 Wastewater treatment in amine-based carbon capture. Dong C, Huang G, Cheng G, An C, Yao Y, Chen X, Chen J 30738317
ENCS
9 On the Conflicting Estimations of Pigment Site Energies in Photosynthetic Complexes: A Case Study of the CP47 Complex. Reinot T, Chen J, Kell A, Jassas M, Robben KC, Zazubovich V, Jankowiak R 27279733
PHYSICS

 

Title: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
Link:https://pubmed.ncbi.nlm.nih.gov/34476872/
DOI:10.1002/anie.202109532
Publication:Angewandte Chemie (International ed. in English)
Keywords:deep learninginformation encodinglanthanide-doped nanocrystalsluminescence
PMID:34476872 Category: Date Added:2021-09-03
Dept Affiliation: ENCS
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.





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