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Record W2023876714 · doi:10.1002/cjce.20366

Homotopy analysis of heat and mass transfer boundary layer flow through a non‐porous channel with chemical reaction and heat generation

2010· article· en· W2023876714 on OpenAlexvenueno aff
Stanford Shateyi, S. S. Motsa, Precious Sibanda

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2010
Typearticle
Languageen
FieldMathematics
TopicFractional Differential Equations Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsEckert numberGrashof numberHomotopy analysis methodPartial differential equationBoundary layerHeat transferMechanicsThermodynamicsBoundary value problemFlow (mathematics)MathematicsReynolds numberPhysicsHomotopyNusselt numberMathematical analysis

Abstract

fetched live from OpenAlex

Abstract This paper describes the two‐dimensional flow of an incompressible viscous fluid through a non‐porous channel with heat generation and a chemical reaction. Employing similarity transformations the governing non‐linear partial differential equations are solved both analytically and numerically. Analytically, we used the homotopy analysis method and numerically, we used the Matlab in‐built boundary value solver bvp4c . The effects of the Reynolds number Re , the Eckert number Ec , heat generation parameter δ , chemical reaction parameter γ , and the local Grashof number Gc on the velocity, temperature, and concentration fields are shown through tables and graphs and 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.373

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 head0.021
GPT teacher head0.232
Teacher spread0.211 · 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 designBench or experimental
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

Citations10
Published2010
Admission routes1
Has abstractyes

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