Dominating impact of microporous layer thickness on gas diffusion layer oxygen transport resistance
Bibliographic record
Abstract
The thickness of the microporous layer (MPL) in polymer electrolyte membrane (PEM) fuel cells with gas diffusion layers (GDLs) has a dominating impact on oxygen transport resistance, particularly compared to the thickness of the GDL substrate. Specifically, GDLs with thinner MPLs showed superior oxygen transport resistance despite possessing relatively restrictive GDL substrates. Concurrent operando imaging revealed inconsequential liquid water accumulation at the catalyst layer interface and within the GDL substrate despite the high relative humidity conditions. The highly beneficial absence of liquid water that typically lowers oxygen transport resistance, enabled a closer examination of how GDL morphology impacts the oxygen transport resistance during operation. • Operando imaging reveals low liquid water content in GDL despite high RH. • MPL dominates oxygen transport resistance compared to GDL substrate. • MPL thickness has strong influence on oxygen transport resistance.
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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 | 0.000 |
| 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".