Evidence map›Paper›PMID 42201568›Full record

ArticleDiscover nano2026

Computational insight to optimize nanofluidic thermal transport management in octagonal enclosure with heat generating element by envisioning novel physical factors.

Asad Ullah, Noor Zeb Khan, S Bilal, Muhammad Bilal Riaz

Abstract read
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

4 authors.

Asad UllahDepartment of Mathematics, Air University, Islamabad, 44000, Pakistan.
Noor Zeb KhanSchool of Aerospace Engineering, King Fahad University of Petroleum and Minerals, Daharan, 31261, Saudi Arabia.
S BilalDepartment of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, PO Box 1664, Al Khobar, 31952, Saudi Arabia. sbilal@pmu.edu.sa.
Muhammad Bilal RiazIT4Innovations, VSB - Technical University of Ostrava, Ostrava, Czech Republic.

Funding

financial support of the European Union under the REFRESH - Research Excellence For Region Sustainability 10.03.01/00/22_003/0000048
6 · The paper itself

Abstract

This study investigates the production of entropy and thermal transition phenomena in MHD nanoliquid movement via a porous octagonal enclosure with a central obstacle and establishes an ANN model for predicting the average Nusselt number (Nu

Indexed as

Artificial neural network (ANN)Darcy–Forchheimer modelEntropy generationNanofluid flowOctagonal enclosure

Identifiers

PMID42201568
PMCPMC13216448

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.