Understanding of Luminescence Properties Using Direct Measurements on Eu<sup>2+</sup>‐Doped Wide Bandgap Phosphors
Bibliographic record
Abstract
Abstract Recent developments in solid‐state lighting lead to a demand for new phosphors with excellent thermal stability, exhibiting large bandgaps for highly efficient emission. A detailed characterization of the luminescent material AELi2Be4O6:Eu2+ (AE = Ba, Sr) is presented using soft X‐ray absorption spectroscopy, X‐ray emission spectroscopy, X‐ray excited optical luminescence (XEOL) spectroscopy, and density functional theory (DFT) calculations. The experimental indirect bandgap for both BaLi2Be4O6:Eu2+ (BLBO:Eu) and SrLi2Be4O6:Eu2+ (SLBO:Eu) is found to be 6.5 ± 0.3 eV, which agrees well with the DFT calculations (6.8 eV for BLBO:Eu and 7.4 eV for SLBO:Eu). The crucial Eu2+ 5d to conduction band energy separation is determined to be 0.21 ± 0.10 and 0.25 ± 0.10 eV for BLBO:Eu and SLBO:Eu, respectively, using resonant inelastic X‐ray scattering. These measured values are in good agreement with the thermal quenching measurements (0.20 ± 0.03 eV for BLBO:Eu and 0.26 ± 0.03 eV for SLBO:Eu). Finally, the XEOL measurement confirms the Eu2+ 5d14f6 → 4f7 transition, which is responsible for the ultranarrow band (full width at half‐maximum: 25 nm) blue optical luminescence at 455–457 nm for both compounds. With these measurements and calculations, deep insights are gained into the key properties of those two phosphors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".