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Record W2359240588

Distributed Parallel Algorithm for Hypersonic Flow with Non-Equilibrium Chemical Reactions

2005· article· en· W2359240588 on OpenAlexaboutno aff
WU Yi-zhao

Bibliographic record

VenueNanjing Hangkong Hangtian Daxue xuebao · 2005
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHypersonic speedDomain decomposition methodsComputer scienceFinite volume methodChemical equilibriumFlow (mathematics)Chemical reactionDomain (mathematical analysis)AlgorithmFinite element methodMechanicsPhysicsMathematicsThermodynamicsChemistryMathematical analysis
DOInot available

Abstract

fetched live from OpenAlex

A distributed parallel algorithm for hypersonic flow with non-equilibrium chemical reactions is presented. The numerical method of Jameson′s finite volume scheme is implemented to N-S equations. The chemical reaction model is considered as a five specie and five reaction model and the ionization effect is not considered. The point implicit scheme is used for the chemical source and the Newton iterative method is used in the calculation of the temperature distribution. The domain decomposition method (DDM) based on the software METIS splits the global domain into sub-domains. Results for the hypersonic blunt cone body are obtained on PCs-Cluster with PVM protocol, and the speed-up characteristic is compared with different sub-domains/processors.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score1.000

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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations1
Published2005
Admission routes1
Has abstractyes

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