The Effect of Pt Cluster Size on Micro-Morphology of PEMFC Catalyst Layers- A Molecular Dynamics Simulation
Bibliographic record
Abstract
An equilibrium molecular dynamics simulation is employed to investigate the morphology changes inside the catalyst layer (CL) due to different sizes of Pt particles. The microstructure formed during the fabrication stage determines majority of the CL performance. Different sizes of the nano Pt particles are formed during the fabrication process. It is important to investigate the relation between the microstructure and the Pt cluster sizes. Different sizes (about 1, 2 and 3 nm) of Pt particles are considered in the present work. It was found that the small Pt particles (case of 1 nm) tend to merge to form a larger Pt cluster. This was not so in the case of lager Pt particles (2nm and 3nm). The microstructure formed at various Pt cluster sizes is shown to be quite different. Detailed information about the structure was obtained by carrying out structural analysis in view of radial distribution function (RDF)
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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) | 0.003 | 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".