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Sajjad Hussain

Researcher at Nanyang Technological University

Publications -  32
Citations -  859

Sajjad Hussain is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Nanofluid & Thermophoresis. The author has an hindex of 11, co-authored 32 publications receiving 246 citations. Previous affiliations of Sajjad Hussain include Bahauddin Zakariya University.

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Finite element investigation of Dufour and Soret impacts on MHD rotating flow of Oldroyd-B nanofluid over a stretching sheet with double diffusion Cattaneo Christov heat flux model

TL;DR: In this paper, a description for magnetohydrodynamic effects on the transient rotational flow of Oldroyd-B nanofluids is considered, and the variational finite element procedure is harnessed and coded in Matlab script to obtain the numerical solution of the coupled nonlinear partial differential problem.
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The improved thermal efficiency of Maxwell hybrid nanofluid comprising of graphene oxide plus silver / kerosene oil over stretching sheet

TL;DR: In this paper, an analysis for heat transfer enhancement of Graphene oxide (Go)/Kerosene oil and Go+ silver (Ag)/Kosene oil hybrid nanofluid is made theoretically when the fluids flow through a porous medium over a stretching sheet in the presence of an applied magnetic field.
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A comparative description on time-dependent rotating magnetic transport of a water base liquid H2O with hybrid nano-materials Al2O3-Cu and Al2O3-TiO2 over an extending sheet using Buongiorno model: Finite element approach

TL;DR: In this article, a comparative study of two hybrid-nanofluids with hybrid-base fluid and different shape factors is performed. And the variational finite element procedure is harnessed and coded in Matlab script to obtain the numerical solution of the coupled non-linear partial differential problem.
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Finite element simulation of bioconvection and cattaneo-Christov effects on micropolar based nanofluid flow over a vertically stretching sheet

TL;DR: An analysis for varying temperature with bioconvection of self-motive microorganisms mixed in micropolar based nanofluids is carried out with a reliable computational procedure.