Thermodynamic and Kinetic Properties of Elements and Inorganic Compounds Relating to their Melting and Boiling Point Temperatures
Bibliographic record
Abstract
Enthalpies of formation of inorganic compounds are shown to be related to their melting point temperatures. Enthalpies of melting and vapourization of elements and compounds are also related to their melting point and boiling point temperatures. The surface tension, viscosity and self-diffusivity of liquid metals are again related to their melting point temperatures. These regularities in the thermodynamic and kinetic properties of substances are shown to be a manifestation of the interatomic or intermolecular forces in solid, liquid and vapour phases. Interrelations between surface tension, viscosity and self-diffusivity of liquid metals at their melting point temperatures are discussed further in the Addendum.On montre que l’enthalpie de formation de composés inorganiques est reliée à leur température au point de fusion. Les enthalpies de fusion et de vaporisation des éléments et des composés sont aussi reliées à leurs températures aux points de fusion et d’ébullition. La tension superficielle, la viscosité et l’autodiffusivité des métaux liquides sont également reliées à leur température au point de fusion. On montre que ces régularités des propriétés thermodynamiques et cinétiques des substances sont une manifestation des forces interatomiques ou intermoléculaires des phases solide, liquide et vapeur. On discute plus en détail dans l’annexe des interrelations entre la tension superficielle, la viscosité et l’autodiffusivité des métaux liquides à leur température au point de fusion.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".