Muhammad Ishaq

Hydrodynamical study of couple stress fluid flow in a linearly permeable rectangular channel subject to Darcy porous medium and no-slip boundary conditions

Muhammad Ishaq, Saif Ur Rehman, Muhammad Bilal Riaz et al. · Alexandria Engineering Journal · 2024 · 25 citations · Full text

Engineering, Computational Engineering, Computational Fluid Dynamics +16

Artificial neural network-based study of entropy optimization in Johnson-Segalman nanofluids through a peristaltic channel

Muhammad Ishaq, M. Bilal Ashraf, Sultan Alshehery et al. · Physics of Fluids · 2025 · 25 citations

Natural Sciences, Computational Engineering, Physics +17

Artificial neural network analysis of irreversibility in electroosmotic flow of Prandtl–Eyring fluid through an inclined peristaltic channel with ciliated walls

Muhammad Ishaq, M. Bilal Ashraf, Mohammed A. Tashkandi et al. · Physics of Fluids · 2025 · 20 citations

Natural Sciences, Bioengineering, Computational Engineering +17

Development of a novel artificial neural network-based approach for predicting entropy generation in electroosmotic flow of nanofluids

Muhammad Ishaq, M. Bilal Ashraf · Nonlinear Dynamics · 2025 · 14 citations

Computing, Chemical Engineering, Computational Engineering +9

Deep neural network-based predictive modeling of entropy generation in electroosmotic transport of six-constant Jeffrey nanofluids through a divergent peristaltic channel

Muhammad Ishaq, M. Bilal Ashraf, Sultan Alshehery et al. · Nonlinear Dynamics · 2025 · 10 citations

Engineering, Chemical Engineering, Transport Phenomena +10