Author

Shajar Abbas

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Open access Sep 2026

Nanotechnology‐Driven Analysis of MHD Maxwell‐Casson Nanofluid Flow With Activation Energy Using Artificial Neural Networks

The Maxwell‐Casson nanofluid (NF) flow past a porous inclined plate has attracted much attention, since it has extensive potential applications in thermal energy systems, chemical processes, biomedical transport, and advanced cooling technology. This paper aims to simulate the flow and heat and mass transfer (HMT) ch...

D. Prabu, Shajar Abbas, Abdul Raqib Muslimyar et al. · Engineering Reports · 0 citations

Open access Oct 2026

Machine learning-based analysis of heat and mass transfer in casson hybrid nanofluid flow over a variable porous riga plate

This study uses an artificial neural network (ANN) architecture in combination with the Levenberg-Marquardt backpropagation (LMBP) method to investigate the impact of heat radiation on the hybrid nanofluid flow through a variable porous medium beneath a stretchy Riga plate. The purpose of this work is driven by the inc...

Shajar Abbas, Syeda Farzeen Fatima Gilani, I. Siddique et al. · Discover Nano · 0 citations

Aug 2026

Artificial intelligence-based fractional modeling of radiative Jeffrey flow with heat generation and reaction effects

This study investigates the influence of thermal radiation on the free convection flow of a Jeffrey fluid over a vertical stationary plate. To account for memory and non-local effects in the transport process, the Atangana-Baleanu fractional derivative in the Caputo sense is incorporated into the mathematical model...

Hakim AL. Garalleh, Shajar Abbas, Rashid Jan et al. · Multidiscipline Modeling in... · 0 citations