Structural Investigation and Anti-Stokes Emission of Scandium Oxide Nanocrystals Activated with Trivalent Erbium
Bibliographic record
Abstract
The structural and emission Stokes and anti-Stokes properties of Sc 2 O 3 :Er 3 nanocrystals doped with 0.1, 1, and 10 mol % Er 3 were investigated. The nanocrystalline powders were characterized using X-ray scattering as well as transmission and scanning electron microscopy. The samples showed a very porous, open microstructure with the particles having a narrow distribution of sizes 10-60 nm. Furthermore, the mechanisms responsible for the anti-Stokes emission ( exc 980 nm) were elucidated. We observed that the processes responsible for populating the green ( 2 H 11/2 , 4 S 3/2 ) and red ( 4 F 9/2 ) emitting states were dependent upon the concentration of the dopant ion. In 0.1 mol % nanocrystalline Sc 2 O 3 :Er 3 , upconversion was determined to occur via excited state absorption while in the 10 mol % sample, energy transfer upconversion was the dominant mechanism. An enhancement of the red anti-Stokes emission from the 4 F 9/2 4 I 15/2 transition was observed in Sc 2 O 3 :Er 3 nanocrystals as a function of Er 3 concentration. This was the result of two independent processes responsible for directly populating the 4 F 9/2 state and bypassing the green emitting levels ( 2 H 11/2 and 4 S 3/2 ). Furthermore, the red enhancement was found to be more pronounced compared to identically doped Y 2 O 3 :Er 3 nanocrystals. An explanation for this phenomenon is presented and discussed.
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 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".