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Thermally simulated double diffusion flow for Prandtl nanofluid through Levenberg–Marquardt scheme with artificial neural networks with chemical reaction and heat transfer

Crossref DOI link: https://doi.org/10.1007/s10973-024-13831-z

Published Online: 2024-12-24

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Akbar, Noreen Sher

Zamir, Tayyab

Alzubaidi, A.

Saleem, S.
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Text and Data Mining valid from 2024-12-24

Version of Record valid from 2024-12-24
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Article History

Received: 4 August 2024

Accepted: 1 November 2024

First Online: 24 December 2024

Declarations

:

: Authors have no conflict of interest. The article can be extended for different nanofluids and nanoparticles taking other non-Newtonian fluid models considering different thermophysical properties and it can also be extended for different boundary conditions, i.e., slip and thermal etc.

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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