Achieving high-accuracy multi-feature temperature sensing in chromium(<scp>iii</scp>)-doped nanophosphors using machine learning

Multi-feature near-infrared photoluminescence in Cr 3+ -doped nanophosphors was used for high-accuracy temperature prediction using machine learning.

Authors

Qianfan Zhang (ORCID: https://orcid.org/0000-0001-9318-6403)
Maohui Yuan (ORCID: https://orcid.org/0000-0002-4952-4417)
Yijie Wen (ORCID: https://orcid.org/0009-0006-7239-096X)
Chao Lin (ORCID: https://orcid.org/0000-0002-8736-686X)
Xiang Feng (ORCID: https://orcid.org/0009-0006-5961-1182)
Kai Han

Institutions

National University of Defense Technology (CN)
Beihang University (CN)

Publication Details

Journal: Journal of Materials Chemistry C
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5tc02094h
Primary Topic: Gas Sensing Nanomaterials and Sensors
Type: article
Field-Weighted Citation Impact: 0.00

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article

Achieving high-accuracy multi-feature temperature sensing in chromium(iii)-doped nanophosphors using machine learning

Qianfan Zhang, Maohui Yuan, Yijie Wen, Chao Lin et al.

Jan 1, 2025

Journal of Materials Chemistry C

Gas Sensing Nanomaterials and Sensors

article

Achieving high-accuracy multi-feature temperature sensing in chromium(iii)-doped nanophosphors using machine learning

Qianfan Zhang, Maohui Yuan, Yijie Wen, Chao Lin, Xiang Feng, Kai Han

January 1, 2025article en

Abstract

Multi-feature near-infrared photoluminescence in Cr 3+ -doped nanophosphors was used for high-accuracy temperature prediction using machine learning.

Journal of Materials Chemistry CVol. 13(36)

National University of Defense Technology (CN), Beihang University (CN)

Openalex Percentile: Top 83%

Gas Sensing Nanomaterials and Sensors

DOI Source OpenAlex

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