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Intelligent Neural Computing to Investigate the Heat and Mass Transmission in Nanofluidic System between Two Rotating Permeable Disks

https://doi.org/10.2139/ssrn.4638637
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Heat transport investigation of hybrid nanofluid (Ag-CuO) porous medium flow: Under magnetic field and Rosseland radiation
inferredcites →https://doi.org/10.1016/j.ces.2012.08.029openalex-extracted
Exact analytical solutions for heat and mass transfer of MHD slip flow in nanofluids
inferredcites →https://doi.org/10.1016/j.ces.2017.07.024openalex-extracted
A review on slip-flow and heat transfer performance of nanofluids from a permeable shrinking surface with thermal radiation: Dual solutions
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Numerical study for slip flow of carbon–water nanofluids
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Slip flow and convective heat transfer of nanofluids over a permeable stretching surface
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Heat transport investigation of magneto-hydrodynamics (SWCNT-MWCNT) hybrid nanofluid under the thermal radiation regime
inferredcites →https://doi.org/10.1016/j.icheatmasstransfer.2020.104643openalex-extracted
Numerical study for slip flow of Reiner-Rivlin nanofluid due to a rotating disk
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Response surface methodology (RSM) and artificial neural network (ANN) simulations for thermal flow hybrid nanofluid flow with Darcy-Forchheimer effects
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Effect of thermal radiation on magnetohydrodynamics nanofluid flow and heat transfer by means of two phase model
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Hydromagnetic slip flow of nanofluid over a curved stretching surface with heat generation and thermal radiation
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Prediction of porous media fluid flow using physics informed neural networks
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A review on applications and challenges of nanofluids
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Heat transfer enhancement of nanofluids
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Estimation of unsteady hydromagnetic Williamson fluid flow in a radiative surface through numerical and artificial neural network modeling
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Heat transport in entropy-optimized flow of viscoelastic fluid due to Riga plate: analysis of artificial neural network
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Multi-layer artificial neural network modeling of entropy generation on MHD stagnation point flow of Cross-nanofluid
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Convective Transport in Nanofluids
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Applications of Nanofluids: Current and Future
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Heat and Mass Transport Analysis of MHD Rotating Hybrid Nanofluids Conveying Silver and Molybdenum Di-Sulfide Nano-Particles under Effect of Linear and Non-Linear Radiation
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Artificial Neural Networking (ANN) Model for Convective Heat Transfer in Thermally Magnetized Multiple Flow Regimes with Temperature Stratification Effects
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Artificial Neural Networking (ANN) Model for Drag Coefficient Optimization for Various Obstacles
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Investigation of Mixed Convection in Spinning Nanofluid over Rotating Cone Using Artificial Neural Networks and BVP-4C Technique
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Numerical and Thermal Investigation of Magneto-Hydrodynamic Hybrid Nanoparticles (SWCNT-Ag) under Rosseland Radiation: A Prescribed Wall Temperature Case
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