Evidence map›Paper›PMID 41961163›Full record

ArticleDiscover nano2026

Computational study of unsteady Homann type flow of ternary hybrid nanofluid in the presence of induced magnetic forces and time relaxation.

Latif Ahmad, Asghar Ali Khan, Saleem Javed, Umair Khan, Jomana A Bashatah

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Latif AhmadDepartment of Mathematics, Shaheed Benazir Bhutto University, Sheringal Dir Upper, 18000, Pakistan.
Asghar Ali KhanDepartment of Mathematics, Shaheed Benazir Bhutto University, Sheringal Dir Upper, 18000, Pakistan.
Saleem JavedDepartment of Mathematics, Shaheed Benazir Bhutto University, Sheringal Dir Upper, 18000, Pakistan.
Umair KhanDepartment of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 602105, Tamil Nadu, India. umairkhan@sakarya.edu.tr.
Jomana A BashatahDepartment of Industrial and Systems Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.

Funding

Princess Nourah Bint Abdulrahman University PNURSP2026R908
6 · The paper itself

Abstract

Thermal and mass management is one of the major components of material processing in various productive industries. A significant predictive analytical way is presented in this work to predict the heat and mass exchange during many industrial processes. More specifically, this work is very relevant to exploring the physics of ternary hybrid nanofluid (THNF), induced magnetic field, first-order chemical reaction, Darcy Forchheimer effects, suction/injection, modified heat and mass fluxes effects. The convective surface constraints are imposed to address the surface behavior of the dynamic disk. The typical potential Homann-type flow equations and the thermal and mass balance aspects are mathematically expressed via a set of nonlinear flow, thermal, mass, and induced magnetic field equations. However, the material composition is based on the effective inclusion of nanoparticles, CoFe

Indexed as

Convective boundary conditionsDarcy flowHomann potential flowInduced magnetic fieldModified heat-mass fluxesNumerical study

Identifiers

PMID41961163
PMCPMC13069037

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.