Challenges and Opportunities of Upconversion Nanoparticles for Emerging NIR Optoelectronic Devices

  • Sunyingyue Geng
  • , Hangfei Li
  • , Ziyu Lv
  • , Yongbiao Zhai*
  • , Bobo Tian
  • , Ying Luo
  • , Ye Zhou
  • , Su Ting Han*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

34 Scopus citations

Abstract

Upconversion nanoparticles (UCNPs), incorporating lanthanide (Ln) dopants, can convert low-energy near-infrared photons into higher-energy visible or ultraviolet light through nonlinear energy transfer processes. This distinctive feature has attracted considerable attention in both fundamental research and advanced optoelectronics. Challenges such as low energy-conversion efficiency and nonradiative losses limit the performance of UCNP-based optoelectronic devices. Recent advancements including optimized core–shell structures, tailed Ln-doping concentration, and surface modifications show significant promise for improving the efficiency and stability. In addition, combining UCNPs with functional materials can broaden their applications and improve device performance, paving the way for the innovation of next-generation optoelectronics. This paper first categorizes and elaborates on various upconversion mechanisms in UCNPs, focusing on strategies to boost energy transfer efficiency and prolong luminescence. Subsequently, an in-depth discussion of the various materials that can enhance the efficiency of UCNPs and expand their functionality is provided. Furthermore, a wide range of UCNP-based optoelectronic devices is explored, and multiple emerging applications in UCNP-based neuromorphic computing are highlighted. Finally, the existing challenges and potential solutions involved in developing practical UCNPs optoelectronic devices are considered, as well as an outlook on the future of UCNPs in advanced technologies is provided.

Original languageEnglish
Article number2419678
JournalAdvanced Materials
Volume37
Issue number48
DOIs
StatePublished - 3 Dec 2025

Keywords

  • NIR-optoelectronic devices
  • neuromorphic computing
  • photodetectors
  • photonic memristors
  • upconversion nanoparticles

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