Study of morphological and optical properties of thin Ag layers prepared by pulsed laser deposition at glancing angle configuration
Bibliographic record
Abstract
In this paper, the possibility of fabricating black silver thin films with high optical absorbance in the visible region using pulsed laser deposition (PLD) in a glancing angle configuration accompanied by a slow substrate rotation was investigated. The films were prepared at the deposition angles of 0°, 82°, 85°, 87° and 89°, which were analyzed primarily by SEM and spectroscopic ellipsometry. It was shown that at high deposition angles, there is a significant change in the optical properties (samples prepared at increasing deposition angles show a red shift in the absorbance peak and its broadening). The work demonstrated that using the PLD method performed at a high deposition angle (with a constant rotation of the substrate) it is possible to prepare thin porous layers consisting of silver nanoparticles, while their parameters (size, shape, density, etc.) and related optical properties can be changed with the angle of deposition. This offers the possibility of using this technique for the preparation of thin functional Ag coatings, which could eventually find adequate applications.
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) | 0.000 | 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".