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Record W4398222010 · doi:10.1080/10407790.2024.2355561

Exploring thermal and solutal features in stagnation point flow of Casson fluid over an exponentially radiative and reactive vertical sheet

2024· article· en· W4398222010 on OpenAlex
MD. Shamshuddin, M. Sunder Ram, N. Ashok, S.O. Salawu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNumerical Heat Transfer Part B Fundamentals · 2024
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsStagnation pointThermal radiationMechanicsRadiative transferStagnation temperatureFlow (mathematics)ThermalMaterials scienceExponential growthThermodynamicsPhysicsHeat transferMathematicsMathematical analysisOptics

Abstract

fetched live from OpenAlex

The stagnation point flow of hydromagnetic Casson liquid flow under an exponentially moving vertical sheet has attracted much attention due to its wide applications. The current investigation considers an incompressible hydromagnetic reacting Casson stagnation point flow in a moving exponential plate and permeable medium. The reduced ordinary quasi-linear derivative equations via similarity transformation and the derivative model are solved computationally through fourth-order Runge–Kutta with a shooting scheme and implemented in MAPLE. The momentum, thermic, and mass transfer profiles and the effect of varying flow terms on the flow variables are determined, and the results are illustrated graphically. The investigations revealed that higher Grashof and Casson term augments velocity. The skin friction characteristic decreases when the flow parameter porosity and Grashof number estimations are dropped. Better heat transfer performance is recorded for thermal solid radiation. The mass transfer characteristics factor decreases when the flow parameter estimations are raised. The proposed model convergence is achieved and presented in the table. The old results agreed with the present; this shows that the numerical method is suitable for solving the model.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
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 communication0.0000.001
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 head0.034
GPT teacher head0.249
Teacher spread0.215 · 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