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Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction

Humphrey Adun, Ifeoluwa Wole‐Osho, Eric C. Okonkwo, Tonderai Ruwa, Terfa Agwa, Kenechi Kurtis Onochie, Henry Ugochukwu Ukwu, Olusola Bamisile, Mustafa Dagbasi

2022Neural Computing and Applications25 citationsDOIOpen Access PDF

Topics & Concepts

NanofluidViscosityComputer scienceThermal conductivitySupport vector machineArtificial neural networkSolar energyMachine learningProcess engineeringMaterials scienceArtificial intelligenceHeat transferThermodynamicsEngineeringPhysicsElectrical engineeringComposite materialNanofluid Flow and Heat TransferSolar Thermal and Photovoltaic SystemsHeat Transfer Mechanisms
Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction | Litcius