Parameterization of Halogens for the Density-Functional Tight-Binding Description of Halide Hydration
Bibliographic record
Abstract
Parameter sets of the self-consistent-charge density-functional tight-binding model with and without its third-order extension have been developed to describe the interatomic interactions of halogen elements (X = Cl, Br, I) with hydrogen and oxygen, with the ultimate goal of investigating halide hydration with this approach. The reliability and accuracy of the model with these newly developed parameters has been evaluated by comparing the structural, energetic, and vibrational properties of small molecules containing halogen atoms with those obtained by means of standard density-functional theory. Furthermore, the newly parametrized model is found to predict equilibrium geometries, binding energies, and vibrational frequencies for small aqueous clusters containing halogen anions, X(-)(H2O)n (n = 1-4), in good agreement with those calculated with density-functional theory and high-level ab initio quantum chemistry and with available experimental data. This demonstrates that the newly parametrized models might be a method of choice for investigating halide hydration in larger clusters.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".