| 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; RodrÃguez-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 Y, Lu M, Mandl GA, Xie Y, Sun G, Chen J, Liu X, Capobianco JA, Sun L | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/34476872/ | ||||
| DOI: | 10.1002/anie.202109532 | ||||
| Publication: | Angewandte Chemie (International ed. in English) | ||||
| Keywords: | deep learning; information encoding; lanthanide-doped nanocrystals; luminescence; | ||||
| 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. |
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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. |



