LBM-MHD Data-Driven Approach to Predict Rayleigh–Bénard Convective Heat Transfer by Levenberg–Marquardt Algorithm

Himika, TA, Hasan, MF, Molla, MM et al. (1 more author) (2023) LBM-MHD Data-Driven Approach to Predict Rayleigh–Bénard Convective Heat Transfer by Levenberg–Marquardt Algorithm. Axioms, 12 (2). 199. ISSN 2075-1680

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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Keywords: lattice Boltzmann; Rayleigh–Bénard convection; magnetohydrodynamics; Levenberg– Marquardt algorithm; data-driven analysis; Nusselt number; Hartmann number; porosity; rectangular cavity
Dates:
  • Published: 13 February 2023
  • Published (online): 13 February 2023
  • Accepted: 8 February 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Jul 2023 10:51
Last Modified: 06 Jul 2023 10:51
Published Version: http://dx.doi.org/10.3390/axioms12020199
Status: Published
Publisher: MDPI
Identification Number: 10.3390/axioms12020199
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