PyTorch-based deep neural network model for the calendering process of non-Newtonian fluids with temperature-dependent viscosity

The objective of the present study is to develop a PyTorch-based deep neural network framework to predict velocity and temperature profiles in the calendering process of incompressible, non-Newtonian fluids with temperature-dependent viscosity. The governing partial differential equations are non-di...

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Bibliographic Details

Main Authors:	Maqbool, Sana Naz, Ali, Fateh, Feng, Xinlong, Usman, M., Islam, Mujahid
Format:	Article
Published:	John Wiley and Sons Inc 2025
Subjects:	Condensed Matter Physics Fluid Flow and Transfer Processes
Online Access:	http://psasir.upm.edu.my/id/eprint/122447/ https://onlinelibrary.wiley.com/doi/10.1002/htj.70095
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