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Record W1985764343 · doi:10.2514/1.t4549

Air Collisional-Radiative Modeling with Heavy-Particle Impact Excitation Processes

2015· article· en· W1985764343 on OpenAlexfundno aff
Adrien Lemal, Carolyn Jacobs, Marie-Yvonne Perrin, Christophe O. Laux, Phi-Hung Tran, E. Raynaud

Bibliographic record

VenueJournal of Thermophysics and Heat Transfer · 2015
Typearticle
Languageen
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsnot available
FundersYork University
KeywordsRadiative transferExcitationIonizationAtomic physicsNon-equilibrium thermodynamicsPhysicsElectronShock (circulatory)PopulationNuclear physicsThermodynamics

Abstract

fetched live from OpenAlex

This paper reviews the electron- and heavy-particle impact processes governing the population/depletion of the states of N, O, , and , which can be significantly affected by nonequilibrium conditions while strongly radiating in lunar-return shock layers. The collisional-radiative model developed in this work includes electron-impact excitation, ionization, heavy-particle impact excitation, vibration–electron, vibration–translation, dissociation and bound–bound radiative mechanisms. The available experimental and theoretical reaction rates governing these processes were critically reviewed to produce a reliable set of rate constants. The collisional-radiative model was then applied to typical nonequilibrium thermodynamic conditions encountered during lunar-return Earth reentry. The effect of heavy-particle impact processes is discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.300
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2015
Admission routes1
Has abstractyes

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