Precisely Modulating Oxygen Vacancies Via Heterovalent Ions Substitution in Spinel‐Structured Phosphor for Versatile Applications
Bibliographic record
Abstract
Abstract Rare‐earth ions doped phosphors have attracted great research interests owing to their versatile applications in optoelectronic fields. The phosphors often created atom vacancies because of the heterovalent substitution and different ion radii. However, how to previously modulate the defect concentration and position in ions doped phosphor is still a great challenge and significantly important for facilitating the optical applications. Herein, the accurate modulation of oxygen vacancies in spinel‐like ZnGa 2 O 4 phosphors is demonstrated via Eu 3+ doping for advanced temperature sensing and optical information encryption applications. The experimental results and first‐principle calculations confirmed that more Eu 3+ ions introduced into the lattice of ZnGa 2 O 4 can lead to the generation of high concentration of oxygen vacancies as well as much deeper and wider deficient states in its electronic bandgap, which therefore endow great potential for afterglow emission. The distinct luminescence quenching between Eu 3+ and oxygen vacancies at high temperatures verified outstanding luminescence intensity ratio modeled temperature sensing performance with maximum relative sensitivity ( S r ) value of 5.96% K −1 (@360 K) for ZnGa 2 O 4 :0.02Eu 3+ sample. Moreover, by virtue of the fantastic thermal‐induced afterglow luminescence, the dynamic optimal information encryption and anti‐counterfeiting over the ZnGa 2 O 4 :Eu 3+ phosphor have been also achieved.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".