The Role of Operating Temperature on Pore‐Scale Gas Transport in Polymer Electrolyte Membrane Electrolyzers
Bibliographic record
Abstract
In this study, the effects of operating temperature on pore-scale gas bubble transport in a carbon-based anode porous transport layer (PTL) of a polymer electrolyte membrane (PEM) electrolyzer is revealed using operando X-ray computed tomography (CT). Higher temperature operation (80 °C compared to 40 °C) led to a lower total gas bubble volume fraction in the PTL (0.25 to 0.17; 32% lower), which is attributed to improved water transport and gas removal. Higher temperatures led to fewer bubbles in the PTL (13% less at 80 °C compared to 40 °C) as well as a greater occurrence of smaller bubbles (35% increase in skewness of the bubble size distribution), and this behavior is attributed to faster rates of nucleation and bubble detachment from the electrode. The formation of gas slugs is also observed in the anode channels at 60 °C and 80 °C, which is attributed to the faster detachment and coalescence of bubbles from the PTL/flow field interface.
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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 | 0.001 |
| 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".