Mechanical Damage Propagation in Polymer Electrolyte Membrane Fuel Cells
Bibliographic record
Abstract
While significant advances in polymer electrolyte membrane fuel cell (PEMFC) technology have taken place in the past decade, challenges still remain in the area of mechanical degradations [1]. Mechanical degradations and damage in PEMFCs including cracks and failure in the membrane electrode assembly (MEA) [2–5] can lead directly to fuel crossover, performance degradation, and reduced durability. It is therefore critical to identify and control the mechanisms that can contribute to damage initiation and propagation in the PEMFC. In this work, we investigate the damage propagation in the MEA, with a special focus on the gas diffusion layer (GDL)/catalyst layer (CL) and the membrane/CL interfaces. A numerical cohesive constitutive model is developed to explore the effect of geometry, the material properties of each component, and the location of the delamination on the propagation behaviour of through-plane delaminations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".