Growth of randomly oriented single-crystalline tin (IV) oxide nanobelts: Control on the predominant crystalline growth axis
Bibliographic record
Abstract
One-dimensional nanobelts of tin (IV) oxide are synthesized by using a newly introduced catalyst-assisted pulsed laser deposition method along two growth directions of [010] and [101]. An ex situ mask-induced growth gradient technique is employed to investigate the growth evolution of the nanobelts on oxidized-Si, H-terminated Si, and Al2O3(0001) substrates by helium ion microscopy, which reveals four stages of growth including catalyst detachment, horizontal nanorod growth, deflection, and the final nanobelt growth. X-ray diffraction and transmission electron microscopy studies show that in spite of the deflections and changes in the growth direction, the nanobelts have, remarkably, maintained their single-crystalline structure throughout the growth by only changing their crystalline growth axis. This has enabled us to influence the preferred growth axis by establishing a crystalline relation between the nanobelts and an appropriate substrate that pins the nanobelts in the initial growth stage. This growth control provides an important means to selectively promote growth of the predominant side planes of the nanobelts, which can then be separated for appropriate applications based on the different growth kinetics of [010] and [101] growth direction.
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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) | 0.000 | 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 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".