Energy Migration Control of Multimodal Emissions in an Er<sup>3+</sup>‐Doped Nanostructure for Information Encryption and Deep‐Learning Decoding
Yapai Song, Mengyang Lu, Gabrielle A. Mandl, Yao Xie, Guotao Sun, Jiabo Chen, Xin Liu, John A. Capobianco, Lining Sun
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.