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Record W4416599337 · doi:10.1149/ma2025-02181232mtgabs

Tunable Emission from Europium-Doped Silicon Oxynitride Thin Films

2025· article· W4416599337 on OpenAlexaff
Fahmida Azmi, Peter Mascher

Bibliographic record

VenueECS Meeting Abstracts · 2025
Typearticle
Language
FieldMaterials Science
TopicLuminescence Properties of Advanced Materials
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPhosphorEuropiumPhotoluminescenceLight emissionDopingEmission spectrumSiliconPhotonicsLuminescence

Abstract

fetched live from OpenAlex

This work reports tunable emission of Eu 3+ and Eu 2+ from SiO x N y films fabricated by integrated electron cyclotron plasma enhanced chemical vapor deposition and magnetron sputtering. The photoluminescence (PL) spectra of intense red emission from Eu 3+ around 600 nm and blue broadband emission from 400 to 750 nm of Eu 2+ are observed under daylight conditions with the naked eye. The findings of this work are promising toward the realization of europium doped Si-based materials for photonics and lighting technologies. Silicon (Si) based optoelectronic components are becoming very important for the advanced silicon photonic industry 1 . These optoelectronics components are also highly desirable for biochemical sensor applications in medicine and environmental control 2 . 3,4 However, the indirect band gap of bulk Si has limited its light emission efficiency . Several methods have been developed to engineer Si into an efficient light emitter, and among them, doping Si with rare earth ions has earned significant interest due to their excellent luminescent and chemical stability. Europium (Eu) is one of the promising rare earths that exhibits two optically active states, Eu 2+ and Eu 3+ , making it suitable for a wide range of color emission from the blue to the red spectral region 5 . The emission lines of Eu 3+ correspond to the transitions from the excited 5 D 0 level to the 7 F J (J= 0 to 6) level of the 4f n configuration and generate sharp peaks in the red spectral range. On the other hand, the emission from Eu 2+ occursdue to the electronic transitions from the 4f 6 5d 1 level to the 4f 7 shell, and emission happens between 400 to 800 nm 6 . Thus, Eu is very attractive in the fields of silicon photonics, along with solid state lighting, display, senor and photovoltaic applications 7 . In this study, we have investigated the optical properties and compositions of Eu-doped Si oxynitride thin films prepared by integrated electron cyclotron resonance plasma enhanced chemical vapor deposition and magnetron sputtering (ECR–PECVD) on p-type Si substrates. Different samples were fabricated by varying nitrogen and oxygen flow to understand the effect of the surrounding matrix on the luminescence. Post-deposition annealing was performed at different temperatures ranging from 600 to 1200 O C. The dependencies of the PL properties on Eu concentrations and annealing temperatures were investigated in detail. It is found that films annealed at a temperature higher than 1000 O C produced bright red emission from Eu 3+ and bright blue emission from Eu 2+ , which can be seen under daylight conditions with the naked eye. Furthermore, the existence of Eu-containing phases is confirmed by high-resolution X-ray diffraction spectroscopy (XRD). The stoichiometry of the films is analyzed by Rutherford backscattering spectrometry (RBS) and elastic recoil detection analysis (ERDA). The optical constants and thickness of the films are analyzed by variable angle spectroscopic ellipsometry (VASE). This work highlights the tunable luminescence property of Eu doped SiO x N y thin films, making them promising candidates in light emission systems for optoelectronic platforms. Acknowledgements: This work is funded by NSERC Discovery Grant RGPIN-2019-06023 and ORF Grant ORF-RE 09-051. References Wang Z, Abbasi A, Dave U, et al., Laser Photon Rev . 2017;11(4). doi:10.1002/lpor.201700063 Germer S, Cherkouk C, Rebohle L, Helm M, Skorupa W., SPIE 8767, Integrated Photonics: Materials, Devices, and Applications II . 2013;8767:1-13. doi:10.1117/12.2017275 Tian Y, Chen B, Hua R, et al., J. Appl. Phys . 2011; 109 (5): 53511. doi:10.1063/1.3551584 Tian Y, Chen B, Hua R, et al., Cryst. Eng. Comm . 2012; 14 (5): 1760-1769. doi:10.1039/C1CE06232H Lin Z, Huang R, Wang H, et al., J. Alloys Compd . 2017; 694: 946-951. doi:10.1016/j.jallcom.2016.10.132 Azmi F, Gao Y, Khatami Z, Mascher P., J. Vac. Sci. Technol. A 2022; (043402). doi:10.1116/6.0001761 Bellocchi G, Franzò G, Iacona F, et al., Opt. Express . 2012; 20 (5): 5501-5507. doi:10.1364/OE.20.005501

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.259
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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