Fractional calculus and neural networks team up to model memory-driven fluid flow
Researchers derived analytical solutions for an unsteady magnetohydrodynamic Jeffrey fluid flow using a fractional operator with a Rabotnov memory kernel ...
Researchers derived analytical solutions for an unsteady magnetohydrodynamic Jeffrey fluid flow using a fractional operator with a Rabotnov memory kernel ...
A computational study models blood-based trihybrid nanofluid flow and heat transfer in a constricted artery, using a Bayesian-regularized neural network ...
A numerical study of an MHD Eyring–Powell tri-hybrid nanofluid over a rotating disk finds that the two Eyring–Powell parameters have ...
A numerical study of MoS2-SiO2/KO hybrid nanofluid flow over a rotating stretching disk reports quantified effects of thermal radiation, magnetic ...
A new numerical study shows that magnetic dipole interactions, Stefan blowing, radiation and bioconvection jointly control heat, mass and microorganism ...
Researchers have semi-analytically solved heat, mass, and microorganism transport in a Walter's-B nanoliquid over a stretching sheet using the Cattaneo-Christov ...
A new mathematical model of Casson fluid flow through curved, stretching, porous vessels shows that magnetic, permeability, and yield-stress effects ...
Researchers combined MATLAB boundary-value simulations with a Levenberg-Marquardt neural network to model magnetized Casson-micropolar nanofluid flow with bioconvection, achieving near-perfect ...
A new three-dimensional numerical study reveals that thermal radiation thickens thermal boundary layers while paradoxically reducing wall heat transfer in ...
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© 2026 Scienmag - Science Magazine