Polarizable Interaction Model for Liquid, Supercritical, and Aqueous Ammonia
Bibliographic record
Abstract
A polarizable model for ammonia is optimized based on the ab initio properties of the NH3 molecule and the NH3-NH3 and NH3-H2O dimers calculated at the MP2 level. For larger (NH3)m, NH3(H2O)n, and H2O(NH3)n clusters (m = 2-7 and n = 1-4), the model yields structural and binding energies in good agreement with ab initio calculations without further adjustments. It also reproduces the structure, density, heat of vaporization, self-diffusion coefficient, heat capacity, and isothermal compressibility of liquid ammonia at the boiling point. The model is further validated by calculating some of these properties at various temperatures and pressures spanning the liquid and supercritical phases of the fluid (up to 700 K and 200 MPa). The excellent transferability of the model suggests that it can be used to investigate properties of fluid ammonia under conditions for which experiments are not easy to perform. For aqueous ammonia solutions, the model yields liquid structures and densities in good agreement with experimental data and allows the nonlinearity in the density-composition plot to be interpreted in terms of structural changes with composition. Finally, the model is used to investigate the solvation structure of ammonia in liquid water and of water in liquid ammonia and to calculate the solvation free energy of NH3 and H2O in aqueous ammonia as a function of solution composition and temperature. The simulation results suggest the presence of a transition around 50% molar NH3/H2O compositions, above which water molecules are preferably solvated by ammonia.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".