A PHENOMENOLOGICAL MONTE CARLO SIMULATION OF A TWO-STEP DIMER/MONOMER SURFACE REACTION
Bibliographic record
Abstract
In the past few years stochastic models have been extensively used to describe the adsorption and reaction of molecules on metallic surfaces. One such model was due to Ziff, Gulari and Barshad (ZGB) which despite its simplicity was able to capture some important features of surface reactions such as steady state, phase transition and surface poisoning. However, in all the contributions that used the ZGB model the reactants were assumed to occupy similar sites on the metallic surface. The intent of this contribution is to investigate a more complicated two-step monomer/dimer model reaction of the form A2 + B → (AB)ads + B → A2B in which the reacting species adsorb on distinct sites on the metallic surface, e.g. four-fold hollow- and bridge-bonding. In this context, it was found that the lack of correlation between surface concentrations leads to a dramatic breakdown of the site approximation which did not occur when only equivalent surface sites are used.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".