Researchers modeled unsteady magnetic Casson hybrid nanofluid flow in a sinusoidally stenosed artery using finite-difference simulations and neural network interpolations.
A numerical and statistical study shows that mixed convection accelerates blood-based tetra- and penta-hybrid nanofluids while magnetic damping, porous resistance, ...
Researchers have synthesized nitrogen-doped carbon quantum dots using a microwave-assisted route, demonstrating temperature-dependent photoluminescence and semiconductor-like electrical resistance for optical ...
Researchers have modeled the radiative magnetohydrodynamic flow of a carbon nanotube hybrid nanofluid containing oxytactic microorganisms over a sheet using ...
Researchers used numerical shooting methods and artificial neural networks to accurately predict heat transfer, fluid flow, and entropy generation in ...
Simulations reveal that external magnetic fields and porous resistance sharply increase skin friction while suppressing heat transfer in micropolar fluid ...
Researchers modeled the momentum and thermal transport of a five-nanoparticle fluid along a vertically stretched surface using an artificial neural ...
Computational simulations reveal that combining cylindrical gold with spherical nanoparticles increases mean velocity and mean temperature in a magnetized stenosed ...
Numerical modeling indicates that angling a magnetic field at thirty degrees enhances convective heat transfer by up to seventy-eight percent ...
A graphene–supramolecular polymer composite with a segregated conductive network self-heals in about 40 seconds via Joule heating and senses damage ...
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