Pt Thin Films with Nanometer-Sized Terraces of (100) Orientation
Bibliographic record
Abstract
Pulsed laser deposition was used to grow thin layers of Pt on (001)-oriented MgO substrate. The deposition temperature was varied from −25 to 600 °C, and the film thickness was varied from ca. 7 to 45 nm. The crystalline quality, orientation, and epitaxial relationship of Pt thin films on (001)-oriented MgO substrate were investigated by atomic force microscopy and X-ray diffraction as well as through electrochemical probe reactions that are sensitive to the surface crystallographic orientations (H adsorption/desorption) and the width of the (100) terrace (NH 3 electro-oxidation reaction). All thin (7 nm thick) Pt films exhibit only one diffraction peak (the (001) peak) and a 4-fold in-plane symmetry, indicating epitaxial growth is achieved independently of the deposition temperature. Moreover, the pole figure indicates that all films exhibit a Pt(001)[010]//[010](001)MgO cube-on-cube epitaxial relationship, which is consistent with the AFM images. The films are prepared with nearly 60% of (100) sites, and the maximum width of the (100) terraces is nine atomic rows, attained at 325 °C.
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 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) | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".