A Comparative Study of the Electrodeposition of Nanoporous Ir and Pt Thin Films
Bibliographic record
Abstract
This work compares the properties of thin, porous Ir and Pt films, formed by electrodeposition (ED) from solutions containing their respective chloro-complexes, in preparation for the future co-electrodeposition of thin Pt-Ir alloy films for electrocatalytic applications.ED was carried out on Au using potentiodynamic and potentiostatic methods with simultaneous in situ mass measurements, using the quartz crystal microbalance technique.While Ir ED is found to depend on the ED potential in a more complex manner than does Pt, the specific surface area (SSA) of both metal films increases linearly with potential, but decreases with increasing solution concentration.All of the films were found to be highly porous, as confirmed using field emission scanning electron microscopy.The optimum conditions for Ir ED (0.2 V vs. RHE and a precursor concentration of < 0.05 mM) were found to be very suitable for Pt ED as well, giving films 1 to 5 nm in thickness, 25% in porosity, and exhibiting an ED charge efficiency of 75-95%.
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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 | 0.001 |
| 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".