Structural Transformation of Monocrystalline Platinum Electrodes upon Electro-oxidation and Electro-dissolution
Bibliographic record
Abstract
Atomic-level understanding of the degradation of Pt materials is important for the rational design of nanoscopic Pt electrocatalysts for fuel cells. We report on the dissolution and structural transformation of spherical, monocrystalline, polyoriented Pt (Pt(spherical)) in 0.50 M aqueous H2SO4 upon potential cycling in the surface oxide formation–reduction region. The potential cycling is performed in the EL–EU range (EL = 0.07 V and 0.90 ≤ EU ≤ 1.50 V) to correlate dissolution and morphology data to EU. The amount of dissolved Pt is monitored using flow injection coupled to inductively coupled plasma mass spectrometry (ICPMS), and structural changes, which modify cyclic voltammetry profiles, are examined using scanning electron microscopy (SEM). In the case of EU ≤ 1.20 V, there is minor dissolution of the (100) and (110) facets, while the (111) facet remains stable. In the case of EU ≥ 1.30 V, all facets undergo significant dissolution. Changes in the surface morphology of Pt(spherical) upon repetitive potential cycling in the 0.07–1.50 V range were examined in relation to the number of transients (1 ≤ n ≤ 30000). The SEM images reveal that the (111) facet develops pits, the (100) facet uniformly distributed hillocks (pyramids), and the (110) facet columns. We report structural changes for 25 basal, stepped, and kinked facets. Their analysis demonstrates that the (531) facet is the least roughened and thus the most stable. The original results reported in this article represent a major contribution to the current understanding of the interfacial electrochemistry and electrocatalysis of Pt materials.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".