Adsorption of Na and Hg on the Ice(Ih) Surface: A Density-Functional Study
Bibliographic record
Abstract
The adsorption of Na and Hg atoms on the ice(Ih) surface has been studied using first principles density-functional calculations. Apart from the stoichiometric surface, a defective surface, created by removing a hydrogen atom from the surface, is also investigated. The adsorption energy for both Na and Hg is low on the stoichiometric surface. The calculated adsorption energies of Hg are qualitatively similar with different theoretical approaches, e.g., a generalized-gradient approximation (GGA) functional, a hybrid functional, and MP2. However, for Na, the GGA calculations reveal a favorable adsorption process, whereas the more accurate B3LYP and MP2 calculations favor the desorption of Na on the stoichiometric ice surface. The adsorption of Hg on the defective surface is stronger (double) than that of the stoichiometric surface. Na adsorbs very strongly on the defect site by forming Na−O bonds. The structures and energetics of all possible adsorption sites of Na and Hg on both the stoichiometric and defective surfaces are analyzed and discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".