| A novel applicable experimental study on the thermal behavior of SWCNTs (60%)-MgO (40%)/EG hybrid nanofluid by focusing on the thermal conductivity MH Esfe, S Esfandeh, MK Amiri, M Afrand Powder technology 342, 998-1007, 2019 | 124 | 2019 |
| Thermal conductivity of a hybrid nanofluid MH Esfe, MK Amiri, A Alirezaie Journal of Thermal Analysis and Calorimetry, 2018 | 116 | 2018 |
| Using artificial neural network for investigating of concurrent effects of multi-walled carbon nanotubes and alumina nanoparticles on the viscosity of 10W-40 engine oil MH Esfe, MH Kamyab, M Afrand, MK Amiri Physica A: Statistical Mechanics and its Applications 510, 610-624, 2018 | 69 | 2018 |
| Optimization of the removal Pb (II) and its Gibbs free energy by thiosemicarbazide modified chitosan using RSM and ANN modeling SPG Zaferani, MRS Emami, MK Amiri, E Binaeian International journal of biological macromolecules 139, 307-319, 2019 | 63 | 2019 |
| Experimental investigation of effective parameters on MWCNT–TiO 2/SAE50 hybrid nanofluid viscosity MH Esfe, MRS Emami, MK Amiri Journal of Thermal Analysis and Calorimetry, 1-15, 2019 | 48* | 2019 |
| Optimizing thermophysical properties of nanofluids using response surface methodology and particle swarm optimization in a non-dominated sorting genetic algorithm MH Esfe, MK Amiri, M Bahiraei Journal of the Taiwan Institute of Chemical Engineers 103, 7-19, 2019 | 41 | 2019 |
| Machine learning modeling of polycarbonate ultrafiltration membranes at different temperatures, Al2O3 nanoparticle volumes, and water ratios S Zahmatkesh, MK Amiri, SPG Zaferani, MRS Emami, ... Chemosphere 313, 137424, 2023 | 20 | 2023 |
| Multi-objective optimization of thermophysical properties GO powders-DW/EG Nf by RSM, NSGA-II, ANN, MLP and ML MK Amiri, SPG Zaferani, MRS Emami, S Zahmatkesh, R Pourhanasa, ... Energy 280, 128176, 2023 | 19 | 2023 |
| Removal efficiency optimization of Pb2+ in a nanofiltration process by MLP-ANN and RSM MRS Emami, MK Amiri, SPG Zaferani Korean Journal of Chemical Engineering 38 (2), 316-325, 2021 | 19 | 2021 |
| Prediction and optimization of sustainable fuel cells behavior using artificial intelligence algorithms SPG Zaferani, MK Amiri, MRS Emami, S Zahmatkesh, ... International Journal of Hydrogen Energy 52, 746-766, 2024 | 14 | 2024 |
| Curve fitting model of Polycarbonate Al2O3-nanoparticle membranes for removing emerging contaminants from wastewater: Effect of temperature and nanoparticles MK Amiri, S Zahmatkesh, MRS Emami, A Bokhari Chemosphere 322, 138184, 2023 | 13* | 2023 |
| Computational AI to predict and optimize the relationship between dye removal efficiency and Gibbs free energy in the adsorption process utilizing TiO2/chitosan-polyacrylamide … SPG Zaferani, MK Amiri, AA Amooey International Journal of Biological Macromolecules 264, 130738, 2024 | 10 | 2024 |
| Optimization of density and coefficient of thermal expansion of MWCNT in thermal oil nanofluid and modeling using MLP and response surface methodology MH Esfe, SM Motallebi, H Hatami, MK Amiri, S Esfandeh, D Toghraie Tribology International 183, 108410, 2023 | 8 | 2023 |
| Multi-objective optimization of viscosity and thermal conductivity of TiO2/BioGlycol-water nanofluids with sorting non-dominated genetic algorithm II coupled with response … MH Esfe, H Hatami, MK Amiri, S Alidoust, D Toghraie, S Esfandeh Materials Today Communications 36, 106718, 2023 | 6 | 2023 |
| Influence of different parameters on the rheological behavior MWCNT (30%)-TiO2 (70%)/SAE50 hybrid nano-lubricant using of response surface methodology and artificial neural … MH Esfe, MK Amiri, S Esfandeh, MRS Emami, D Toghraie Arabian Journal of Chemistry 15 (12), 104285, 2022 | 6 | 2022 |
| What is the rheological behavior of MWCNT-MgO (30: 70)/SAE50 hybrid nanolubricant?(Focusing on viscosity sensitivity investigation using numerical simulation) MH Esfe, MK Amiri, MRS Emami, D Toghraie Tribology International 178, 108004, 2023 | 5 | 2023 |
| Experimental study and sensitivity analysis on the rheological treatment of MWCNT-CuO/SAE50 non-Newtonian hybrid nanofluid to show the usability in industrial applications MH Esfe, H Hatami, S Alidoust, D Toghraie, MK Amiri, S Esfandeh Materials Today Communications 37, 107513, 2023 | 2 | 2023 |
Mohammad Reza Sarmasti EmamiAssociate Professor of Chemical Engineering, University of Science & Technology of Mazandaran, IranVerified email at mazust.ac.ir