Co-Precipitation Synthesis and Photoluminescence Properties of Sc<sub>0.88</sub>Lu<sub>0.05</sub>(V<sub>1-x</sub>P<sub>x</sub>)O<sub>4</sub>:Eu<sup>3+</sup><sub>0.07</sub> Red Phosphor for White Light Emitting Diodes
Bibliographic record
Abstract
Sc0.88Lu0.05(V1-xPx)O4:Eu3+0.07(0≤x≤0.5) phosphors were synthesized by co-precipitation method. The structure, morphology and luminescence spectra of samples were investigated by XRD, SEM and fluorescence spectrophotometer, respectively. The samples doped with Eu3+, Lu3+and PO43-can maintain the body-centered tetragonal structure of ScVO4and the morphology essentially remains unchanged with slight agglomeration. The excitation spectrum intensity of Sc0.88Lu0.05(V1-xPx)O4:Eu3+0.07increase within the near UV excitation (360-410nm). The optimum doping concentration of PO43-is 0.2(x value), and the maximum emission intensity of Sc0.88Lu0.05(V0.8P0.2)O4:Eu3+0.07is about 35 % higher than the Sc0.88Lu0.05VO4:Eu3+0.07under 365 nm excitation. Decay curve of5D0state for as-prepared samples fits the single order exponential behavior, the lifetime of5D0increase first and then decrease with the increase of PO43-doping concentration. The internal quantum efficiency is up to 66.73% under 365nm excitation, When the temperature rises to 200°C, the emission intensity maintains 79.3% of that in the room temperature. Sc0.88Lu0.05(V0.8P0.2)O4:Eu3+0.07phosphor shows high internal quantum efficiency and thermal stability, which is suitable for the UV-pumped white LED as red phosphor.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".