A Mathematical Model for Her Reaction to Determine Different Pt loads on Pt/C Electrodes
Bibliographic record
Abstract
In the preparation of electrodes Pt / C, one of the highlights is its characterization, particularly the possibility of determining the effective charge of platinum available to carry out a reaction by a nondestructive technique. Electrochemical impedance spectroscopy (EIS) is a technique that provides high precision measurements, producing a stable response without significantly altering the system under study. This paper proposes the use of a hydrogen evolution reaction (HER) mathematical model, validated by experimental data obtained from the implementation of the EIS technique to electrodes with different Platinum loads, in a wide range of frequencies and five different overpotentials. The model takes into account the kinetic, diffusive and adsorption aspects, and also allows to obtain the rate constants for each step of the HER reaction in each of the electrodes used. Although this methodology was used only for Pt/C electrodes suggests a much broader application that extends to any metal electrodes that are capable of evolving hydrogen, with minimal modifications for each particular case.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".