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Multiple underlying images tuned by Mn-doped Zn-Cu-In-S quantum dots.

Suo ZhaoQiao WangJin LiuXianglong HaoXiao LiuJianguo TangZhonglin DuYao WangMikhail ArtemyevJianguo Tang
Published in: RSC advances (2023)
In this study, ZnS capped Cu-In-S (ZCIS) quantum dots doped with Mn ions are synthesized by a thermal injection method, with luminescence covering almost the entire visible area. The large Stokes shift effectively inhibits the self-absorption effect under luminescence, and the quantum yield of ZCIS quantum dots increased from 38% to 50% after ZnS capping and further to 69% after doping with Mn. First, red-, yellow-, and blue-emitting quantum dots were synthesized and then, polychromatic ensembles were obtained by mixing the trichromatic quantum dots in a different ratio. Using the home-built inkjet printer, multilayered and multicolor mixed patterns were obtained for information pattern storage and multilayer pattern recognition and reading.
Keyphrases
  • quantum dots
  • energy transfer
  • sensitive detection
  • metal organic framework
  • transition metal
  • healthcare
  • deep learning
  • heavy metals
  • risk assessment
  • molecular dynamics