Dual role of oxygen-related defects in the luminescence kinetics of AlNMn2+ - Open Research Data - Bridge of Knowledge

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Dual role of oxygen-related defects in the luminescence kinetics of AlNMn2+

Description

This dataset presents the impact of temperature and pressure on AlN:Mn2+ luminescence kinetics. Unusual behavior of Mn2+ optical properties during UV excitation is observed, where a strong afterglow luminescence of Mn2+ occurs even at low temperatures. When the temperature increases, the contribution of the afterglow luminescence is further enhanced, causing a significant increase in the luminescence intensity. The observed phenomena may be explained by an energy diagram in which the ON–VAl complex in AlN:Mn2+ plays a key role. Hence the ON–VAl complex defect in AlN:Mn2+ plays a double role. When the ON–VAl defect is located close to Mn2+ ions, it is responsible for transferring excitation energy directly to Mn2+ ions. However, when the ON–VAl defect complex is located far from Mn2+ ions, its excited state level acts as an electron trap responsible for afterglow luminescence. Additionally, three models have been tested to explain the structure of the emission spectrum and the strong asymmetry between the excitation and emission spectra. From the most straightforward configuration coordinate diagram through the configuration coordinate diagram model assuming different elastic constants in the excited and ground-states ending by a model based on the Jahn–Teller effect. We proved that only the Jahn–Teller effect in the excited 4T1 electronic state with spin–orbit coupling could fully explain the observed phenomena. Finally, high-pressure spectroscopic results complemented by the calculations of Racah parameters and the Tanabe–Sugano diagram are presented.

In that dataset, raw data of temperature-dependent emission spectra,  and decay profiles as well as pressure-dependent emission spectra are provided.

Dataset file

Dual role of oxygen-related defects in the luminescence kinetics of AlNMn.rar
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File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.
Software:
OriginLab, HPD-TA

Details

Year of publication:
2022
Verification date:
2024-01-15
Dataset language:
English
Fields of science:
  • physical sciences (Natural sciences)
DOI:
DOI ID 10.34808/qvfp-kh68 open in new tab
Verified by:
No verification

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