Molecular Dynamics Simulation of Temperature-Dependent Distribution of Gold Nano Particles on Ferroelectrics Substrate
Bibliographic record
Abstract
<p class=MsoNormal style=margin-bottom:0in;margin-bottom:.0001pt;text-align: justify;line-height:150%;vertical-align:baseline> Abstract Gold Nano Particles (GNPs) have been considered the widely used catalyst for chemical industry. However, the efficiency of the GNPs has been limited by the aggregation of the GNPs, as the active sites are only located on the surface of the catalyst particles. In this paper we report the surface aggregation dynamics of GNPs on ferroelectrics substrate. The ferroelectrics substrate and temperature could regulate the coverage of the GNPs. The method of reducing the particle size to obtain the dispersed morphology of GNPs was discussed by the dissipative particle dynamics method and density functional theory. The positive surface could offer more electrons on the GNPs and are responsible for the dispersed morphology of the GNPs.
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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 | 0.005 | 0.001 |
| 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 | 0.001 | 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".