Carbon-Assisted Isothermal Close Space Vapor Transport Growth of Mo<sub>4</sub>O<sub>11</sub> and MoO<sub>2</sub> Micro/Nanostructures by in Situ Formation of the Mo(CO)<sub>6</sub> Transport Agent
Bibliographic record
Abstract
In this article, we present a novel Isothermal Close Space Vapor Transport growth method to obtain isolated nano- and microstructures of molybdenum oxide compound crystals onto the surface of SiO 2 /Si substrates. They include laying rhombic platelets and high aspect ratio wires of MoO 2 as well as 3D Mo 4 O 11 hillocks. Contrary to previous results in which MoO 2 was grown from a source of MoO 3 in a H 2 reductive flow, in the present work N 2 carrier gas was used instead. Since the reduction of MoO 3 is not expected in a N 2 atmosphere, we discuss the influence of the graphite crucible on the in situ formation of the volatile species Mo(CO) 6 . Experiments using a quartz crucible instead of graphite as well as thermodynamic calculations, based on Gibbs free energy analysis, corroborate such an influence. The rhombic platelets were modified by annealing in air, and their evolution was followed by Raman studies as a function of temperature. X-ray diffraction, Raman spectroscopy, atomic force and scanning electron microscopies, and photoluminescence techniques were used to characterize the crystal orientation, phase, and morphology of the obtained structures.
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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) | 0.001 | 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".