Application of molecular dynamics DL_POLY codes to interfaces of inorganic materials
Bibliographic record
Abstract
Three recent applications of the DL_POLY molecular dynamics code are described, which demonstrate the flexibility and viability of the code for extending our understanding of the structure, stability and reactivity of ceramics and minerals at the atomic level. The first is an investigation into differences in oxygen atom mobility in bulk and at the most stable {111} surface of ceria. The results show enhanced surface transport but that it is via subsurface oxygen. Secondly, we investigate how polychloro-dibenzo-pdioxins (PCDDs) molecules might adsorb on clay surfaces. The resulting adsorption energies show a clear relationship with chlorine content of the molecule. Finally, we apply DL_POLY to comparing the aggregation of magnesium oxide and calcium carbonate nanoparticles. We find that very small calcium carbonate nanoparticles are amorphous and their aggregation shows no preferred orientation in contrast to magnesium oxide, which remain highly crystalline and combine in a highly structural specific way.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".