Artificial intelligence driven multiphysics analysis of Casson bioconvective ternary nanofluid flow over an inclined needle
Amir Abbas, Soubhagya Kumar Sahoo, Muhammad Farman, Soumyarani Mishra, Aboulbaba Eladeb, Nermeen Abdullah, Walid Hassen, Lioua Kolsi · 2026
Read Artificial intelligence driven multiphysics analysis of Casson bioconvective ternary nanofluid flow over an inclined needle by Amir Abbas, Soubhagya Kumar Sahoo, Muhammad Farman, Soumyarani Mishra, Aboulbaba Eladeb, Nermeen Abdullah, Walid Hassen, Lioua Kolsi (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13310214.txt.
Description
Amir Abbas applies neural networks to a nanofluid flow model in a 2026 study of heat and mass transfer. The flow crosses a thin moving needle set at a slant inside a porous material, carrying living microbes along with three particle types. Such models serve cooling, energy, and medical engineering design.
Equations were solved with a standard numerical solver, then a neural network checked the accuracy and stability of those results. Raising several settings, including fluid thickness traits and microbe transport numbers, slowed the flow, while a steeper slant sped it. Heat rose with chemical reaction and activation energy settings. Microbe density also shifted with the settings. The author reports the trends as design guidance.
Catalog record
| CREATOR | Amir Abbas, Soubhagya Kumar Sahoo, Muhammad Farman, Soumyarani Mishra, Aboulbaba Eladeb, Nermeen Abdullah, Walid Hassen, Lioua Kolsi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59895 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |