Combined Effect of Heat Source and Pressure in an Unsteady MHD Flow with Chemical Reaction Through an Infinite Oscillating Vertical Porous Surface
Bibliographic record
Abstract
In this study, heat source, pressure gradient, and chemical reaction are investigated in the analytical solution of an unsteady magnetohydrodynamic fluid with heat and mass transfer along a vertical oscillatory surface under the porous medium.This study also investigates the temperature and concentration along with velocity, closer to the surface over time t>0.The Laplace transformation procedure has been implemented for resolving the governing terms of the flow, yielding solutions for temperature, concentration, and velocity.Significant factors that affect velocity, temperature, and concentration-including the Schmidt number, thermal Grashof number, and solutal Grashof number are analysed and results are illustrated graphically using MATLAB.The results obtained here are consistent with the previously published work.From the current investigation, it is reported that velocity decreases with a rise in Hartmann's number (M).As the chemical reaction Kr rises, the velocity has a retarding effect, whereas the concentration increases, and while the heat source (Qs) increases corresponding velocity and temperature both are increasing.As pressure gradient P increases, velocity decreases gradually.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".