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Record W4406038202 · doi:10.18311/jmmf/2024/47263

Numerical Study of 2D Radiated Viscous Nanomaterial Over Unsteady Stretching Surface Under Impact of Porous Media, Ohmic Effect and Suction or Blowing

2024· article· en· W4406038202 on OpenAlex
R. Sumithra, P. A. Dinesh, Sweeti Yadav, K. R. Roopa, Sudhir Patel, M. Hema, Sunena Subhash, S. Srikanth, Naman Raj

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

VenueJournal of Mines Metals and Fuels · 2024
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsSuctionPorous mediumMaterials scienceOhmic contactPorosityMechanicsSurface (topology)Composite materialJoule heatingPhysicsThermodynamicsMathematicsGeometry

Abstract

fetched live from OpenAlex

The current study presents a numerical model of emitted viscous nanomaterial by the stretching of the surface with porous media, Ohmic effect and suction or blowing. The partial differential equation is converted into a system of basic differential equations using the appropriate technique. The RKF45 approach is used to provide a numerical solution to the resulting problem. The influence of several significant parameters on velocity values, concentration, temperature, and the Nusselt number is calculated, and demonstrations are presented using figures and tables. The results obtained are compared to those obtained earlier. The main conclusions of this study are that heat transfer rate increases with Ohmic effect and decreases with porosity and suction/blowing effect. The findings have ramifications in a variety of sectors, including nuclear reactors, synthetic fabrics, metal extrusion, and crystal formation.

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 categoriesnone
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 score0.503
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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