Bibliographic record
Abstract
Water management is one of the major areas of interest in the fuel cell research community. Previous studies have shown enhancement in water management and fuel cell performance using a parallel flow field design including a metallic foam structure in the channels of the cathode flow field [1] . In this paper, metallic foams are used in a new geometry and are applied to both cathode and anode flow fields to improve water removal, reduce production costs, and enhance the overall performance. The metallic foam increases turbulent mixing in the flow fields which prevents the formation of a laminar boundary layer at the surface of the gas diffusion layer (GDL). The foam also serves as a moisture wick removing liquid water away from the GDL while maintaining the level of moisture required avoiding dehydration of the membrane. In this study, the performance tests are conducted at a variety of dew point temperatures to determine the water management properties of the metallic foam in the new geometry. The performance of the metallic foam will be compared to that of a standard serpentine graphite flow field. The major criteria will include performance at nominal voltage and current and high current stability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".