| Development of Predictive Models for Activated Carbon Synthesis from Different Biomass for CO2 Adsorption Using Artificial Neural Networks H Mashhadimoslem, M Vafaeinia, M Safarzadeh, A Ghaemi, F Fathalian, ... Industrial & Engineering Chemistry Research 60 (38), 13950-13966, 2021 | 57 | 2021 |
| The role of surface chemistry on CO2 adsorption in biomass-derived porous carbons by experimental results and molecular dynamics simulations MS Khosrowshahi, MA Abdol, H Mashhadimoslem, E Khakpour, ... Scientific Reports 12 (1), 8917, 2022 | 44 | 2022 |
| Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O2/N2/CO2 on Functionalized Granular Activated Carbon H Mashhadimoslem, M Safarzadeh Khosrowshahi, M Jafari, A Ghaemi, ... ACS omega 7 (22), 18409-18426, 2022 | 35 | 2022 |
| Oxygen and nitrogen enriched pectin-derived micro-meso porous carbon for CO 2 uptake M Vafaeinia, MS Khosrowshahi, H Mashhadimoslem, HBM Emrooz, ... RSC advances 12 (1), 546-560, 2022 | 35 | 2022 |
| A new method for comparison thermal radiation on large-scale hydrogen and propane jet fires based on experimental and computational studies H Mashhadimoslem, A Ghaemi, A Palacios, AH Behroozi Fuel 282, 118864, 2020 | 35 | 2020 |
| Biomass derived hierarchical porous carbon for high-performance O 2/N 2 adsorption; a new green self-activation approach H Mashhadimoslem, M Safarzadeh, A Ghaemi, HBM Emrooz, M Barzegar RSC advances 11 (57), 36125-36142, 2021 | 34 | 2021 |
| Analysis of deep learning neural network combined with experiments to develop predictive models for a propane vertical jet fire H Mashhadimoslem, A Ghaemi, A Palacios Heliyon 6 (11), 2020 | 33 | 2020 |
| NiO and MgO/activated carbon as an efficient CO2 adsorbent: characterization, modeling, and optimization A Ghaemi, H Mashhadimoslem, P Zohourian Izadpanah International Journal of Environmental Science and Technology 19 (2), 727-746, 2022 | 31 | 2022 |
| A New simplified calculation model of geometric thermal features of a vertical propane jet fire based on experimental and computational studies H Mashhadimoslem, A Ghaemi, AH Behroozi, A Palacios Process Safety and Environmental Protection 135, 301-314, 2020 | 29 | 2020 |
| Deep learning analysis of Ar, Xe, Kr, and O2 adsorption on activated carbon and zeolites using ANN approach S Kolbadinejad, H Mashhadimoslem, A Ghaemi, M Bastos-Neto Chemical Engineering and Processing-Process Intensification 170, 108662, 2022 | 24 | 2022 |
| Durable superhydrophobic/superoleophilic melamine foam based on biomass-derived porous carbon and multi-walled carbon nanotube for oil/water separation H Shayesteh, MS Khosrowshahi, H Mashhadimoslem, F Maleki, ... Scientific Reports 13 (1), 4515, 2023 | 17 | 2023 |
| Green self-activating synthesis system for porous carbons: Celery biomass wastes as a typical case for CO2 uptake with kinetic, equilibrium and thermodynamic studies MSHN Mobin Safarzadeh Khowsroshahi, Hossein Mashhadimoslem, Hosein Banna ... Diamond and Related Materials 127, 109204, 2022 | 17 | 2022 |
| Evaluation of the silica gel adsorbent potential for carbon dioxide capture: experimental and modeling Z Khoshraftar, A Ghaemi, H Mashhadimoslem Iranian Journal of Chemical Engineering (IJChE) 18 (4), 64-80, 2021 | 16 | 2021 |
| Modeling and optimization of CO2 mass transfer flux into Pz-KOH-CO2 system using RSM and ANN H Pashaei, H Mashhadimoslem, A Ghaemi Scientific Reports 13 (1), 4011, 2023 | 13 | 2023 |
| Mass Transfer Flux of CO2 into Methyldiethanolamine Solution in a Reactive‐Absorption Process A Ghaemi, AH Behroozi, H Mashhadimoslem Chemical Engineering & Technology 43 (10), 2083-2091, 2020 | 10 | 2020 |
| Hypercrosslinked waste polymers as adsorbents for O2/N2 separation F Maleki, H Mashhadimoslem, A Ghaemi, GMM Sadeghi Materials Chemistry and Physics 292, 126779, 2022 | 9 | 2022 |
| Hydrodynamic and mass transfer parameters for CO2 absorption into amine solutions and its blend with nano heavy metal oxides using a bubble column H Pashaei, A Ghaemi, AH Behroozi, H Mashhadimoslem Separation Science and Technology 57 (4), 555-570, 2022 | 8 | 2022 |
| Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques M Rahimi, H Mashhadimoslem, HV Thanh, B Ranjbar, MS Khosrowshahi, ... Energy 283, 128546, 2023 | 7 | 2023 |
| Hydrogen storage on porous carbon adsorbents: rediscovery by nature-derived algorithms in random forest machine learning model HV Thanh, S Ebrahimnia Taremsari, B Ranjbar, H Mashhadimoslem, ... Energies 16 (5), 2348, 2023 | 7 | 2023 |
| Machine learning analysis and prediction of N2, N2O, and O2 adsorption on activated carbon and carbon molecular sieve H Mashhadimoslem, A Ghaemi Environmental Science and Pollution Research 30 (2), 4166-4186, 2023 | 7 | 2023 |
