Proton exchange membrane fuel cells: contamination and mitigation strategies
Bibliographic record
Abstract
Large-scale commercialization of proton exchange membrane fuel cell (PEMFC) technology has been hindered by issues of reliability, durability, and cost, which are all related to the degradation of fuel cell performance. This degradation often has root causes in contamination from fuel, air streams, or system components. With contributions from international scientists and engineers active in PEMFC research, Proton Exchange Membrane Fuel Cells: Contamination and Mitigation Strategies discusses the impacts of contamination and the contamination mitigation strategies to improve fuel cell performance and durability. The book covers the nature, sources, and electrochemistry of contaminants; their effects on fuel cell performance and lifetime; and the mechanisms of contamination. Exploring the major findings from experimental and theoretical studies in contamination-related research, the expert contributors present methods and tools used for diagnosing various contamination phenomena, along with strategies for mitigating the adverse effects of contamination. They also describe key issues in the future R and D of fuel cell contamination and control. Helping to facilitate pioneering PEMFC R and D and accelerate sustainable commercialization, this book contains the latest research efforts and novel developments as well as important new directions in PEMFC contamination. It offers a comprehensive overview of nearly every aspect of fuel cell contamination, from fundamentals to applications.
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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 | 0.001 | 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 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".