Exploring the influence of nanolayer morphology on magnetized tri-hybrid nanofluid flow using artificial neural networks and Levenberg–Marquardt optimization-Reference-Cited by-同舟云学术

Exploring the influence of nanolayer morphology on magnetized tri-hybrid nanofluid flow using artificial neural networks and Levenberg–Marquardt optimization

Published:2024-05-07 Issue: Volume: Page:1-23
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Faisal ¹,Rauf Abdul²,Ahmad Fiaz²,Ali Shah Nehad³

Affiliation:

1. Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an, P. R. China

2. Department of Mathematics, Air University Multan Campus, Multan, Pakistan

3. Department of Mechanical Engineering, Sejong University, Seoul, South Korea

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2024.2346922

Reference51 articles.

1. Thermal efficiency of radiated tetra-hybrid nanofluid [(Al₂O₃-CuO-TiO₂-Ag)/water]_tetra under permeability effects over vertically aligned cylinder subject to magnetic field and combined convection

2. Unsteady three-dimensional nodal stagnation point flow of polymer-based ternary-hybrid nanofluid past a stretching surface with suction and heat source

3. Dynamics of heat passage in hybrid and tri-hybrid Oldroyd-B blood flows through a wedge-shaped artery: A medical application

4. Partial differential equations of entropy analysis on ternary hybridity nanofluid flow model via rotating disk with hall current and electromagnetic radiative influences

5. Heat Transfer and Second Law Analysis of Ethylene Glycol-Based Ternary Hybrid Nanofluid Under Laminar Flow

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1. Analysis of the tri-hybrid Maxwell nanofluid flow with temperature-dependent thermophysical characteristics on static and dynamic surfaces employing Levenberg-Marquardt artificial neural networks;Numerical Heat Transfer, Part B: Fundamentals;2024-08-05

2. Exploring the influence of morphology on magnetized Ree–Eyring tri‐hybrid nanofluid flow between orthogonally moving coaxial disks using artificial neural networks with Levenberg–Marquardt scheme;ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik;2024-08-03