Density Functional Theory and QT Atoms-in-Molecules Study on the Hydration of Cu(I) and Ag(I) Ions and Sulfides
Bibliographic record
Abstract
The hydrates of Cu+, Ag+, CuS-, AgS-, Cu2S, and Ag2S were investigated with density functional theory (DFT), solvent field, and atoms-in-molecules (QTAIM) calculations. We found that covalent bonding of the first-shell water molecules to the metals plays a significant role in the total solvation energy. Molecular graphs were obtained and the bonding characterized by analysis of the electron density and its laplacian at bond critical points. Long-range electrostatic interactions between solute and the bulk solvent, quantified by solvent-field calculations, are more important for hydrated anions CuS- and AgS- than for Cu+ and Ag+ as well as for the neutral species Cu2S and Ag2S. Computed enthalpies of formation for hydrated Cu+ and Ag+ correlated well with experimentally determined values and allowed us to characterize the structures of several hydrates studied in the gas phase. We found that the stability of the hydrates is leveled in the water solvent field. The reactions of dissociation and substitution of metal sulfides in the gas phase and in solution were compared. A decrease in the of energy of the reactions in going from the gas phase to solution is explained on the basis of the higher coordination of metal atoms in the first hydration shell.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".