Litcius/Paper detail

Data-driven prediction of thermal and flow fields in magnetized Boger-micropolar tri-hybrid nanofluids via deep artificial neural networks

Mohammad Jalili, Hesam Ehsani, Ali Mirzagoli Ganji, Amirali Shateri, Mehdi Mahboobtosi, Yuping Wu, Payam Jalili, Bahram Jalili, Davood Domiri Ganji

2025Engineering Applications of Artificial Intelligence20 citationsDOI

Topics & Concepts

NanofluidArtificial neural networkComputer scienceHeat transferTernary operationNonlinear systemVortexThermalMechanicsMagnetohydrodynamic driveMaterials scienceArtificial intelligenceFluid dynamicsFlow (mathematics)AlgorithmTangentReynolds numberDeep learningStreamlines, streaklines, and pathlinesSensitivity (control systems)Work (physics)Complex fluidMechanical engineeringScalabilityViscosityWorking fluidNanofluid Flow and Heat TransferPower Transformer Diagnostics and InsulationHeat Transfer and Optimization