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Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

Amin Shahsavar, Mehdi Jamei, Masoud Karbasi

2021Powder Technology38 citationsDOI

Topics & Concepts

FerrofluidViscosityNanofluidShear rateRheologySymbolic regressionNanoparticleGridKernel (algebra)Materials scienceGenetic programmingMagnetic fieldChemistryComputer scienceMathematicsNanotechnologyMachine learningComposite materialPhysicsCombinatoricsGeometryQuantum mechanicsNanofluid Flow and Heat TransferCharacterization and Applications of Magnetic NanoparticlesGrey System Theory Applications
Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis | Litcius