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The discovery of high-efficiency Mn4+-activated fluoride red phosphors with short excited-state lifetimes (ESLs) is urgent and crucial for high-quality, wide-color-gamut display applications. However, it is still a great challenge to design target phosphors with both short ESL and high luminescence efficiency. Herein, we propose an efficient machine learning approach based on a small dataset to establish the ESL prediction model, thereby facilitating the discovery of new Mn4+-activated fluorides with short ESLs. Such a model can not only accurately predict the ESLs of Mn4+ in fluorides but also quantify the impact of structure features on ESLs, therefore elucidating the “structure-lifetime” correlations. Guided by the correlations, two new Mn4+-doped tetramethylammonium (TMA)-based hybrid fluorides (TMA)2BF6:Mn4+ (B = Sn or Hf) with both short ESLs (τ ≤ 3.7 ms) and high quantum efficiencies (internal QEs > 92%, external QEs > 55%) have been discovered successfully. A prototype displayer with excellent performance (∼124% National Television Standards Committee (NTSC) color gamut) is assembled by employing a (TMA)2SnF6:Mn4+-based white Mini-LED backlight module, demonstrating its practical prospects in high-quality displays. This work not only brings promising candidates for Mn4+-doped fluoride phosphors but also provides a valuable reference for accelerating the discovery of new promising phosphors.

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  This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Materials Letters, copyright © 2024 American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see　https://doi.org/10.1021/acsmaterialslett.4c00263.

Keyword: luminescent materials, machine learning

Date published: 2024-05-06

Publisher: American Chemical Society (ACS)

Journal:

• ACS Materials Letters (ISSN: 26394979) vol. 6 issue. 5 p. 1790-1800

Funding:

• National Key Research and Development Program of China 2022YFB3503800
• Tyumen region 89-DON (3)
• China Scholarship Council 202206150038
• National Natural Science Foundation of China 52202170
• National Natural Science Foundation of China 52322208
• Natural Science Foundation of Guangdong Province 2022A1515140032
• Distinguished Youth Foundation of Guangdong Scientific Committee 2023B1515020059

Manuscript type: Author's version (Accepted manuscript)

MDR DOI: https://doi.org/10.48505/nims.4503

First published URL: https://doi.org/10.1021/acsmaterialslett.4c00263

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Updated at: 2025-04-03 08:30:20 +0900

Published on MDR: 2025-04-03 14:12:17 +0900