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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Artificial neural network-based optimization of heat transfer rate in magnetically controlled Bingham-type hybrid nanofluid flow for biomedical applications

2026International Journal of Mechanics and Materials in DesignJournal

10.1007/s10999-026-09984-4 Full text0 citations

Authors

7 authors across 6 institutions in 4 countries.

Tosin OreyeniFirst authorCorresponding
- Osun State University (NG)
Pradeep Kaswan
Emmanuel Omokhuale
M. Dinesh Kumar
as printed: Maddina Dinesh Kumar
Nehad Ali ShahCorresponding
S. U. Mamatha
Amos Oladele PopoolaSenior author
- Osun State University (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Nanofluid Flow and Heat Transferlevel 3 · 0.99
Heat Transfer and Optimizationlevel 3 · 0.00
Thermal properties of materialslevel 3 · 0.00

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · International Journal of Mechanics and Materials in Design · 0 citations
https://openalex.org/W7204220675

Artificial neural network-based optimization of heat transfer rate in magnetically controlled Bingham-type hybrid nanofluid flow for biomedical applications · Sankore