Litcius/Paper detail

From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids

Fevzi Şahin, Ömer Genç, Murat Gökçek, Andaç Batur Çolak

2023Powder Technology23 citationsDOI

Topics & Concepts

NanofluidThermal conductivityViscosityZeta potentialThermodynamicsMass transferConductivityMaterials scienceHeat transferChemistryNanotechnologyPhysicsNanoparticlePhysical chemistryNanofluid Flow and Heat TransferCharacterization and Applications of Magnetic NanoparticlesHeat Transfer and Optimization
From experimental data to predictions: Artificial intelligence supported new mathematical approaches for estimating thermal conductivity, viscosity and zeta potential in Fe3O4-water magnetic nanofluids | Litcius