Mathematical analysis of Prandtl number with Artificial neural network and fractional operator for nanofluid flow

This study investigates the free convection flow of Maxwell fluid using the Prabhakar fractional derivative while accounting for exothermic reactions, chemical processes, heat and concentration gradients, and the Soret effect. The innovation is in achieving unique outcomes by combining the effects o...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Muhammad Ramzan, Ahmad Shafique, Shajar Abbas, Rifaqat Ali, Tarik Lamoudan, Rashid Jan, Muyassar Norberdiyeva, Bakhora Turabova, Hakim AL Garalleh
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-07-01
Schriftenreihe:	Case Studies in Thermal Engineering
Schlagworte:	Prabhakar fractional derivative Levenberg–Marquardt neural network training algorithm Artificial neural networking Maxwell fluid model Laplace transform technique
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2214157X25004241
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