Numerical treatment for Darcy–Forchheimer flow of propylene glycol with carbon nanotubes under the impacts of MHD and activation energy

Numerical treatment for Darcy–Forchheimer flow of propylene glycol with carbon nanotubes under the impacts of MHD and activation energy

Abstract This study is the application of a recurrent neural networks with Bayesian regularization optimizer (RNNs-BRO) to analyze the effect of various physical parameters on fluid velocity, temperature, and mass concentration profiles in the Darcy–Forchheimer flow of propylene glycol mixed with ca...

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Bibliographic Details
Main Authors: Hafiz Muhammad Shahbaz, Iftikhar Ahmad
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Activation energy
Propylene glycol
Carbon nanotubes
Recurrent neural networks
Bayesian regularization
Online Access:https://doi.org/10.1038/s41598-024-82569-3
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https://doi.org/10.1038/s41598-024-82569-3

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