Measurement of Hydrogen Solubility in Pd<sub><i>x</i></sub>Cu<sub>100–<i>x</i></sub>Thin Films Prepared by Pulsed Laser Deposition: An Electrochemical in Situ X-Ray Diffraction Analysis
Bibliographic record
Abstract
Pulsed laser deposition was used to prepare Pd x Cu 100– x thin films. The whole composition range (0 ≤ x ≤ 100) was investigated by varying the Pd/Cu surface area ratio on the target. Films were prepared on both Ti and Si substrates, with thickness not exceeding 100 nm. All films are made of disordered (Pd,Cu) solid solutions that crystallized in the Fm 3̅ m space-group lattice. The density of the films is ca. 100% and does not vary with the composition of the films. Depth profile analyses made by X-ray photoelectron spectroscopy indicate that the relative Pd and Cu content is constant throughout the entire thickness of the film. Hydrogen absorption in Pd x Cu 100– x thin films was determined by electrochemical in situ X-ray diffraction measurements. It is shown that a few (ca. 2) absorption/desorption cycles (cold annealing) are needed to reach a steady state, during which the film rearrange itself in a less stressed configuration via plastic deformations. Hydrogen absorption is not observed for x < 50, whereas the H/M value increases drastically for [Pd] > 65 at %, consistently with data from the literature. For 50 ≤ x ≤ 65, H/M increases from 0 to ca. 4%. A detailed comparison with the most recent theoretical calculations indicates this effect is due to an augmentation of the Pd content and of the lattice parameter, which both lead to an increase in the hydrogen binding energy in the octahedral site of the fcc structure.
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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".