The Constituent Additivity Method to Estimate Heat Capacities of Complex Inorganic Solids
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Bibliographic record
Abstract
Heat capacity is one of the most fundamental of all physical properties, yet it is exceedingly unlikely that it will be determined experimentally for all materials. Heat capacity plays an important role in understanding thermodynamic stability, from the perspective of relative enthalpies, entropies, and Gibbs energies of comparative compounds. Therefore, methods to estimate a material's heat capacity could be very useful. We outline such a method for complex inorganic solids, based on additivity of constituent species. This method is especially useful at and above about 150 K, often giving results within a few percent of experimental determinations. Several examples are presented, and the utility and limitations of this method of heat capacity estimation and its uses in teaching are discussed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it