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Outputs (55)

Swirling bioconvective nanofluid flow from a spinning stretchable disk in a permeable medium (2022)
Journal Article
Umavathi, J. C., Beg, O., Beg, T., & Kadir, A. (2023). Swirling bioconvective nanofluid flow from a spinning stretchable disk in a permeable medium. International Journal of Modelling and Simulation, 43(5), 764-796. https://doi.org/10.1080/02286203.2022.2122928

Medical engineering is increasingly deploying nanotechnology and bio-inspired designs in
the 21st century. Motivated by studying the spin coating of bio-nanofluid materials, gyrotactic
bioconvection nanofluid swirling coating flow from a spinning d... Read More about Swirling bioconvective nanofluid flow from a spinning stretchable disk in a permeable medium.

Predictive analysis of Covid 19 disease based on mathematical modelling and machine learning techniques (2022)
Journal Article
Rajarajeswari, P., Santhi, K., Saraswathi, R., & Beg, O. (2022). Predictive analysis of Covid 19 disease based on mathematical modelling and machine learning techniques. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, https://doi.org/10.1080/21681163.2022.2120829

During the emergence of a novel pandemic, predictive modelling process is
more important in the phase of public health planning and response. Relating models to data
provides a view into unseen variables, such as the occurrence of cryptic transmiss... Read More about Predictive analysis of Covid 19 disease based on mathematical modelling and machine learning techniques.

Duel solutions in Hiemenz flow of an electro-conductive viscous nanofluid containing elliptic single-/multi-wall carbon nanotubes with magnetic induction effects (2022)
Journal Article
Ferdows, M., Tazin, T., Beg, O., & Bég, T. (2022). Duel solutions in Hiemenz flow of an electro-conductive viscous nanofluid containing elliptic single-/multi-wall carbon nanotubes with magnetic induction effects. ASME open journal of engineering, 1, https://doi.org/10.1115/1.4055278

Modern magnetic nanomaterials are increasingly embracing new technologies including smart coatings, intelligent lubricants, and functional working fluids in energy systems. Motivated by studying the manufacturing magnetofluid dynamics of electrocondu... Read More about Duel solutions in Hiemenz flow of an electro-conductive viscous nanofluid containing elliptic single-/multi-wall carbon nanotubes with magnetic induction effects.

Dual solutions in Hiemenz flow of an electro-conductive viscous nanofluid containing elliptic single-/multi-wall carbon nanotubes with magnetic induction effects (2022)
Journal Article

Modern magnetic nanomaterials are increasingly embracing new technologies including smart coatings, intelligent lubricants, and functional working fluids in energy systems. Motivated by studying the manufacturing magnetofluid dynamics of electrocondu... Read More about Dual solutions in Hiemenz flow of an electro-conductive viscous nanofluid containing elliptic single-/multi-wall carbon nanotubes with magnetic induction effects.

Computational fluid dynamic simulation of thermal convection in green fuel cells with finite volume and Lattice Boltzmann methods (2022)
Book Chapter

The modern thrust for green energy technologies has witnessed considerable efforts in developing efficient, environmentally friendly fuel cells. This has been particularly so in the automotive sector which is the dominant mode of personal transport i... Read More about Computational fluid dynamic simulation of thermal convection in green fuel cells with finite volume and Lattice Boltzmann methods.

Finite volume numerical analysis of diamond and zinc nanoparticles performance in a water-based trapezium direct absorber solar collector with buoyancy effects (2022)
Book Chapter

In recent years many nanomaterials have been deployed in solar energy systems. These include both carbon-based (e.g. silicates, diamond, carbon nanotubes) and metallic nanoparticles (gold, silver, copper, tin, zinc etc). By combining these nanopartic... Read More about Finite volume numerical analysis of diamond and zinc nanoparticles performance in a water-based trapezium direct absorber solar collector with buoyancy effects.

Modeling the impact of delay on the aggregation of ad proteins (2022)
Journal Article
Nutini, A., Sohail, A., Arif, R., Fiaz, M., & Beg, O. (2022). Modeling the impact of delay on the aggregation of ad proteins. Annals of Data Science, https://doi.org/10.1007/s40745-022-00439-z

Accumulation of the amyloid-β (Aβ ) peptide in the brain gives rise to a cascade of key events in the pathogenesis of Alzheimer’s disease (AD). It is verified by different research trials that the sleep-wake cycle directly affects Aβ levels in the br... Read More about Modeling the impact of delay on the aggregation of ad proteins.

Electro-osmosis modulated periodic membrane pumping flow and particle motion with magnetic field effects (2022)
Journal Article
Bhandari, D. S., Tripathi, D., & Beg, O. (2022). Electro-osmosis modulated periodic membrane pumping flow and particle motion with magnetic field effects. Physics of Fluids, 34(9), https://doi.org/10.1063/5.0111050

Theoretical studies of micro-electro-mechanical systems provide important insight into the mechanisms and optimization of such devices for a range of applications, including biomedical and chemical engineering. Inspired by emerging applications of mi... Read More about Electro-osmosis modulated periodic membrane pumping flow and particle motion with magnetic field effects.

Mathematical modelling of thermo-solutal transport in pulsating flow in the hydrocephalus (2022)
Journal Article
Beg, O., Balasundaram, H., & Sathiamoorthy, S. (2022). Mathematical modelling of thermo-solutal transport in pulsating flow in the hydrocephalus. Journal of Mechanics in Medicine and Biology, https://doi.org/10.1142/S0219519422500713

Cerebrospinal fluid (CSF) is a symmetric flow transport that surrounds brain and central nervous system (CNS). Hydrocephalus is an asymmetric and unusual cerebrospinal fluid flow in the lateral ventricular portions. This dumping impact enhances the e... Read More about Mathematical modelling of thermo-solutal transport in pulsating flow in the hydrocephalus.

A deep learning computational approach for the classification of Covid-19 virus (2022)
Journal Article
Rajarajeswari, P., Santhi, K., Chattopadhyay, P., & Beg, O. (2022). A deep learning computational approach for the classification of Covid-19 virus. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, https://doi.org/10.1080/21681163.2022.2111722

Deep learning and transfer learning are being extensively adopted in biomedical, health and wellbeing related applications. The continuous Covid 2019 (COVID-19) pandemic brought about an
extreme impact on the worldwide medical services framework, ma... Read More about A deep learning computational approach for the classification of Covid-19 virus.