Bibliographic record
Abstract
A thermodynamics-based approach to determining stability conditions for metallic nano-ensembles is proposed. It is related to that [ultra-]dispersing the substance leads to changes in thermodynamic potentials (TPs) compared to those of a massive crystal of the same nature. This dimensional phenomenon consists of two components. Among those are a reduction of TPs due to vacancy-related effects and an increase of TPs due to the surface tension effect. Even linear, exponential, and normal distributions of particles on their size in the ensemble have been considered. The resulting equations have been applied to the nano-ensembles of either In or Au particles. The presence of ultra-small particles in an ensemble makes the vacancy-related effect more apparent than the surface tension effect, promoting system stability. With the decrease in the number of ultra-small particles, the vacancy-related effect drastically diminishes and can yield to the surface tension effect, thereby leading to the loss of stability.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".