# Machine-Learning-Driven Discovery of Mn<sup>4+</sup>-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays

https://mdr.nims.go.jp/datasets/2e11728e-fc84-46cb-9963-35512cf610e4

## File

- [3-12-Revised Manuscript without Any Highlighting.docx](https://mdr.nims.go.jp/filesets/566276f5-877f-4254-afa8-a6994e5eebfc/download) ([Detail](https://mdr.nims.go.jp/filesets/566276f5-877f-4254-afa8-a6994e5eebfc.md))

## Id

2e11728e-fc84-46cb-9963-35512cf610e4

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-05-08T03:06:12.247967Z

## Updated at

2025-04-02T23:30:20.646627Z

## Published at

2025-04-03T05:12:17.212364Z

## Doi

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

## First published url

https://doi.org/10.1021/acsmaterialslett.4c00263

## Date published

2024-05-06

## Recorded date published

2024-5-6

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Machine-Learning-Driven Discovery of Mn<sup>4+</sup>-Doped Red-Emitting Fluorides
    with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting
    Diode Displays
  title_type: original
  lang: en

## Description

- description: 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.
  description_type: abstract
  lang: und

## Creator

- name: Hong Ming
  role: author
  orcid: https://orcid.org/0000-0003-0118-1897
- name: Yayun Zhou
  role: author
- name: Maxim S. Molokeev
  role: author
  orcid: https://orcid.org/0000-0002-8297-0945
- name: Chuang Zhang
  role: author
- name: Lin Huang
  role: author
- name: Yuanjing Wang
  role: author
- name: Hong-Tao Sun
  role: author
  orcid: https://orcid.org/0000-0002-0003-7941
- name: Enhai Song
  role: author
  orcid: https://orcid.org/0000-0003-1666-0532
- name: Qinyuan Zhang
  role: author
  orcid: https://orcid.org/0000-0001-6544-4735

## Contact agent



## Publisher

organization: American Chemical Society (ACS)

## Managing organization



## Keyword

- subject: luminescent materials
  schema: not_defined
- subject: machine learning
  schema: not_defined

## Rights

- description: 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.
  identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2024-04-03
end_date: 2025-04-03

## Journal

- title: ACS Materials Letters
  issn: '26394979'
  volume: '6'
  issue: '5'
  start_page: 1790
  end_page: 1800

## Conference



## Related item



## Funding

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

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



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## Custom property



## Fileset

- id: 566276f5-877f-4254-afa8-a6994e5eebfc
  filename: 3-12-Revised Manuscript without Any Highlighting.docx
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  size: 3927696
  md5: 0eed8f27c6de04dd181c74c5d295fe99

## Thumbnail

fileset_id: 566276f5-877f-4254-afa8-a6994e5eebfc
filename: 3-12-Revised Manuscript without Any Highlighting.docx