Optimizing the Optical Transparency at the Nanometer Level of Neodymium Oxide, Nd₂O₃, in Methanol Solutions
Bibliographic record
Abstract
This study presents the synthesis and characterization of sub-5 nm neodymium oxide (Nd₂O₃) nanoparticles in methanol, utilizing trioctylphosphine oxide (TOPO) as a capping agent to achieve high chemical purity, phase control, and colloidal stability. By optimizing the NaOH/Nd molar ratio, monodisperse and ultrasmall nanoparticles with excellent optical transparency were produced, as confirmed by transmission electron microscopy, X-ray diffraction, UV-visible, infrared spectroscopy, and inductively coupled plasma analysis. The non-aqueous synthesis route effectively suppressed hydroxide formation, ensuring phase purity and enabling precise size tuning. The resulting Nd₂O₃ nanoparticle suspensions exhibited reversible aggregation and redispersibility, supporting their suitability for high-transparency detector media. These advances address critical requirements for neutrino detection experiments, such as those conducted at the Sudbury Neutrino Observatory (SNO), where minimal optical absorbance and long optical path lengths are essential for optimal performance. The findings inform future strategies for nanoparticle stabilization and integration, paving the way for scalable production of transparent nanomaterial solutions for next-generation neutrino detectors and other optoelectronic applications.
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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 | 0.001 | 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 | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| 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".