Lutetium coating of nanoparticles by atomic layer deposition
Bibliographic record
Abstract
Atomic layer deposition (ALD) is a versatile gas phase coating technique that allows coating of complex structured materials, as well as high-surface area materials such as nanoparticles. In this work, ALD is used to deposit a lutetium oxide layer on TiO2 nanoparticles (P25) in a fluidized bed reactor to produce particles for nuclear medical applications. Two precursors were tested: the commercially available Lu(TMHD)3 and the custom-made Lu(HMDS)3. Using Lu(TMHD)3, a lutetium loading up to 15 wt. % could be obtained, while using Lu(HMDS)3, only 0.16 wt. % Lu could be deposited due to decomposition of the precursor. Furthermore, it was observed that vibration-assisted fluidization allows for better fluidization of the nanoparticles and hence a higher degree of coating.
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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 | 0.001 |
| 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".