Transport Properties and Potential Energy Models for Monatomic Gases
Bibliographic record
Abstract
Abstract The first two chapters of this work are an update and outgrowth of the monograph Nonequilibrium Phenomena in Polyatomic Gases published in 1990 by OUP, and a response to considerable improvements in the experimental determination of the transport properties of dilute gases that have taken place during the past 30 years. The derivation and solution of the Boltzmann equation for dilute monatomic gases has been presented. The experimental determination has improved sufficiently that it has become necessary to carry out calculations at the level of the second Chapman–Cowling approximation in order to give computed results that lie within the current experimental uncertainties now being reported. Chapter 3 is devoted to realistic interatomic potential energy functions and begins with a discussion of the need for more accurate representations of these functions. It discusses in detail both direct inversion of both microscopic (spectroscopic transition frequencies and atomic beam scattering) and bulk property (pressure and acoustic second virial coefficients, transport properties) data. It covers the quantum chemical ab initio determination of binary atomic interaction energies and their analytical representation, followed by detailed considerations of the interaction energies between pairs of noble gas atoms. This book is concerned with comparison between theory and experiment, and it discusses the pure noble gases and binary mixtures in detail. There is also a special chapter that focuses upon how to obtain the spectroscopic and thermophysical properties of a specific molecular system theoretically step by step and provides a reference for the specific theoretical calculation work.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".