Energy Migration Control of Multimodal Emissions in an Er3+‐Doped Nanostructure for Information Encryption and Deep‐Learning Decoding. Issue 44 (30th September 2021)

• Record Type: Journal Article
• Authors: Song, Yapai; Lu, Mengyang; Mandl, Gabrielle A.; Xie, Yao; Sun, Guotao; Chen, Jiabo; Liu, Xin; Capobianco, John A.; Sun, Lining
• Is Part Of: Angewandte Chemie international edition. Volume 60:Issue 44(2021)
• Page Start: 23790
• Page End: 23796
• Publication Date: 2021-09-30
• Subjects: deep learning -- information encoding -- lanthanide-doped nanocrystals -- luminescence; Chemistry -- Periodicals; 540
• DOI: 10.1002/anie.202109532
• Languages: English
• ISSNs: 1433-7851

Abstract

Abstract: 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 multimodal 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 multimodal emissions of NCs and deep learning, we successfully demonstrated the storage and decoding of visible light information in pork tissue. Abstract : The control of multimodal emissions has been demonstrated by a new type of Er 3+ ‐based lanthanide nanocrystals (NCs). The multiresponse color‐switchable output can be used for information security. Based on the Vis/NIR‐II multimodal emissions of these NCs and deep learning, it was possible to store and decode information in pork tissue by irradiation with visible light.