Three Dimensional, High Resolution MPL Generation for Thermal and Mass Transport Modeling of PEM Fuel Cells
Bibliographic record
Abstract
A stochastically generated microporous layer (MPL) model has been numerically simulated for studying their thermal and mass transport properties. In this work, the MPLs have been generated with a particle diameter of 50 nm and a filling radius of 15 nm. The resulting structure has a bulk porosity of 0.6, a PTFE content of 31 wt. %, and has been generated at a resolution of 2.5 nm/voxel. The high resolution structure allows the particle to particle contact region to be studied, which is critically important for heat transfer studies. Both the thermal conductivity and effective diffusion coefficient were calculated. Thermal conductivity has been calculated to 17.6 W/m-K using an iterative form of the Fourier heat conduction equation. The effective diffusion coefficient of oxygen has been found to be 7.6 mm2/s using OpenPNM, which is an open source pore network modeling platform.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".