Understanding the Corrosion Resistance of Meso- and Micro-Porous Carbons for Application in PEM Fuel Cells
Bibliographic record
Abstract
The stability of carbon support materials is critical to the lifetime of proton exchange membrane (PEM) fuel cells. Here, we have used a rigorous potential stepping and i/t analysis regime to compare the corrosion resistance of the commonly used microporous carbon black powder, Vulcan carbon (VC), with that of a family of hard-templated mesoporous colloid-imprinted carbon (CICs, with monodisperse pore sizes ranging from 10–50 nm), also using heat-treatment (at 1500°C under N2 for 2 h) to help understand and differentiate their stability. It was found that VC is more corrosion-resistant than the CICs, as VC was already heat-treated at > 1400°C during its preparation, while the CICs experienced a maximum of 900°C during their in-house synthesis. Consistent with this, the CICs have a higher surface density of graphene sheet edges, which are prone to oxidation, and yet these sites are also better at nucleating and stabilizing Pt nanoparticles. Importantly, the smaller the CIC pore size, the better its corrosion resistance, while heat-treatment makes both VC and the CICs more corrosion resistant, giving a 40–60% increase in durability. This is attributed to enhanced hydrophobicity and crystallinity of the carbons and a decrease in the density of defects.
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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 | 0.001 | 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) | 0.000 | 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".