Mohammad Salehi Maleh

Scopus Publications

Exploring the potential of SnO2 nanoparticles for CO2 capture using RSM and ANN
Firouzeh Salimian, Alireza Hemmati, Ahad Ghaemi
Scientific Reports, 2026
This study investigates the properties of SnO2 nanomaterials as CO2 adsorbents. Although CO2 capture technologies have significantly advanced, challenges such as high costs and limited scalability persist. In recent years, nanomaterials have emerged as promising candidates for CO2 adsorption due to their high adsorption capacity, lower cost, and wide availability. However, future research should focus on developing low-cost and efficient nanomaterials to enable large-scale industrial CO2 capture. This study examined the CO2 adsorption capacity using SnO2 nanoadsorbents by employing response surface methodology (RSM) and artificial neural networks (ANNs), specifically radial basis function (RBF) and multilayer perceptron (MLP) networks, for process modeling and optimization. Through the analysis of experimental data, temperature, pressure, and adsorption time were identified as crucial influencing factors. The R2 value of 0.9933 for RSM indicated a great match, whereas the R2 value of one for ANNs indicated superior predictive accuracy. With a minimum mean squared error (MSE) of 0.00012 for the dataset, the MLP was trained using a three-layer activation function. With 288 neurons and a spread of 2, the RBF network achieved an R2 value of 0.9985 and a minimal MSE of 0.00075. The smooth MLP plots effectively captured complex discontinuities, showcasing the superior predictive abilities of ANNs for optimizing the CO2 adsorption process using SnO2 nanoadsorbents, while the RSM surfaces exhibited rigid, polynomial-based patterns.
Study of CO2 capture by synthesized composite and modelling with machine learning and response surface methodology
Hadiseh Masoumi, Ahad Ghaemi, Pouria Zareei, Alireza Hemmati
Scientific Reports, 2026
This research investigated and optimized the separation of carbon dioxide (CO 2 ) from natural gas in an adsorption column filled with grafted-beam nanofiber adsorbent. The main purpose of using ANN and RSM models in this manuscript is to compare these two methods in predicting the CO 2 adsorption capacity. In other words, it was made to find a suitable model that has the highest agreement with the experimental data. Also, the other purpose of using the RSM model is to detect the optimized empirical conditions. Moreover, two common ANN models are applied in this work, including a multilayer perceptron (MLP) and radial basis function (RBF). The novelties of this work are explained as follows: (1) detecting the optimized synthesis factors of NF-PAN/PUGMA sorbent which possess the highest CO 2 adsorption capacity with the help of response surface methodology (RSM), (2) studying the simultaneous interaction of synthesis parameters on the CO 2 adsorption capacity with the help of both RSM and artificial neural networks (ANNs), (3) testing two types of ANN models including multilayer perceptron (MLP) and radial basis function (RBF) to predict the effect of monomer volume percentage and irradiation dose on the CO 2 adsorption capacity. Indeed, finding the best model (ANN or RSM) can help engineers in practical applications predict CO 2 adsorption capacity using NF-PAN/PUGMA under different conditions without incurring high-priced chemical materials, electricity, or human resources. The validation results were examined using correlation coefficients (R 2 ) of RSM, RBF, and MLP models. The correlation coefficients for the RSM, RBF, and MLP models were 0.9910, 0.9949, and 0.9968, respectively. Additionally, the average absolute relative deviation (AARD) values for the RBF and MLP models were 0.00046512 and 0.00045511, respectively, indicating that the MLP model is better than the RBF model. To identify the optimal network structure, the trial-and-error method was conducted for MLP and RBF models. The number of neurons was found at 12 and 45 for MLP and RBF, respectively. The optimized effective parameters were obtained using RSM: 25.80% GMA, 66.45% amine, and an irradiation intensity of 28 kGy.
A comprehensive review on advanced zeolite–polymer architectures for high-performance CO2 capture
Zahra Raeisi-Chehrazi, Fatemeh Bahmanzadegan, Alireza Hemmati, Ahad Ghaemi
Carbon Capture Science and Technology, 2026
• Carbohydrate polymers enable sustainable shaping of zeolite-based CO 2 adsorbents. • Polysaccharide matrices preserve zeolite microporosity while enhancing moisture tolerance. • Interfacial polymer architecture controls diffusion, pore accessibility, and cyclic stability. • Polymer chemistry tunes CO 2 affinity and mitigates competitive H 2 O adsorption. • A mechanistic framework links composite design to performance under humid conditions. . The CO 2 emissions continue to intensify the need for scalable, energy-efficient separation technologies for point-source mitigation. Zeolites remain benchmark physisorbents due to their crystalline microporosity, high density of adsorption sites, and molecular sieving; however, their performance frequently deteriorates under humid feeds. Zeolite–polymer composites are emerging as a robust engineering solution to this bottleneck, synergistically coupling the high density of crystalline adsorption sites and molecular sieving of zeolites with the tunable moisture tolerance and reversible chemisorption of polymers. This comprehensive review critically evaluates recent advances in the integration of natural and synthetic zeolites with diverse polymer matrices, including chitosan, polyethyleneimine (PEI), cationic polyelectrolytes, and polyacrylates. We systematically analyze how polymer chemistry, interfacial loading, and spatial distribution govern crucial performance metrics: pore preservation, diffusion resistance, and cyclic stability. Emphasizing exceptional gas separation performance, we highlight state-of-the-art composites such as clinoptilolite@chitosan, which achieves an outstanding CO 2 uptake of 9.01 mmol g −1 at 298 K and 9 bar. Furthermore, optimal polymer impregnation markedly enhances high-temperature performance; for example, MCM-41-PEI architectures (50 wt% loading) deliver 4.89 mmol g-1 at 348 K, representing a 24-fold increase in capacity over the raw support. Beyond capacity, polymer-enabled microstructural engineering can invert traditional selectivity trade-offs, as seen in Na-Y@polyacrylate systems that exhibit a simultaneous 17.9% enhancement in CO 2 affinity alongside a 36.6% suppression of competitive H 2 O uptake. By consolidating empirical evidence into a unified mechanistic framework, this review provides crucial design guidelines for optimizing zeolite-polymer interphases, facilitating the rational development of next-generation, moisture-tolerant, and highly recyclable adsorbents with lowered regeneration energy for industrial CO 2 mitigation. .
A comprehensive review on the conversion of CO2 into solid carbon materials
Bentolhoda Chenarani, Ahad Ghaemi, Alireza Hemmati
Carbon Capture Science and Technology, 2026
The conversion of carbon dioxide (CO 2 ) into valuable solid carbon materials presents a promising approach for carbon utilization and climate change mitigation. This review systematically evaluates six major carbon allotropes: graphene, carbon nanotubes (CNTs), carbon nanofibers (CNFs), fullerenes, diamonds, and porous carbon, with a focus on synthesis methods, operating conditions, and industrial feasibility. Among these, CNTs and CNFs show the highest potential, especially when produced via molten carbonate electrolysis or the Solar Thermal Electrochemical Process (STEP), which operate at approximately 750–770 °C and near-atmospheric pressure. These methods have demonstrated high carbon conversion efficiencies and significantly lower estimated production costs compared to conventional CVD techniques, due to their simpler operation and lower material costs. Graphene, although high in quality, requires approximately 1000 °C and expensive catalysts, making it less scalable. Fullerenes (C 60 ) and diamonds have very low yields (<1 %) and require extreme pressures (up to 1000 atm), limiting their industrial use. Porous carbons, synthesized electrochemically or by metal/inorganic reduction at 500–850 °C, show promise for supercapacitors and adsorption, with yields up to 55.3 wt % and built-in doping capabilities. Metal-mediated methods using Mg, Zn, and NaBH 4 offer simplicity, moderate conditions, and tunable structures, while new hybrid approaches provide synergistic benefits. Overall, molten salt electrochemical methods are highly promising candidates for scalable and energy-efficient processes, supporting CO 2 valorization in sustainable carbon material production.
A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks
Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati
Scientific Reports, 2025
This study employed some machine learning (ML) techniques with Python programming to forecast the adsorption capacity of MOF adsorbents for thiophenic compounds namely benzothiophene (BT), dibenzothiophene (DBT), and 4,6-dimethyl dibenzothiophene (4,6-DMDBT). Five ML models were developed with the help of a dataset containing 676 rows to correlate the adsorbent features, adsorption conditions, and adsorbate characteristics to the MOF sample’s sulfur adsorption capability. Among the ML approaches, MLP model achieved the best performance with a low mean squared error (MSE) of 0.0032 on the test set and 0.0021 on the training set and mean relative error (MRE) of 15.26% on the test set. Also, Random Forest model yielded a higher test MSE of 0.0045 and MRE of 17.83%. Feature importance analysis was performed by utilizing MLP model and shapely additive plan (SHAP) method, and the findings revealed that “initial concentration of sulfur” (SHAP value 0.51) and “contact time” (SHAP value 0.37) were the crucial factors influenced desulfurization process efficiency. Additionally, a comparative analysis of the features utilizing the MLP network classified the factors into three primary categories: process conditions, adsorbent characteristics, and adsorbate characteristics. Consequently, the process condition was identified as the most significant group compared to others. Finally, the desulfurization process optimization indicated the maximum DBT adsorption of 161.6 mg/g for Zr-based MOF could be achieved when the features including BET, TPV, pore size, oil/adsorbent ration, and temperature were tuned around 756 m 2 /g, 0.955 cm 3 /g, 5.96 nm, 449.85 g/g, 20.1 °C, respectively.
A comprehensive review on desulfurization from liquid fuels by Mil-125
Negin Madani, Mohsen Shayanmehr, Alireza Hemmati
Journal of Environmental Chemical Engineering, 2025
Multi-functional CaO@GO catalyst and adsorbent derived from eggshell waste for removal of environmental pollutants
Maryam Helmi, Bentolhoda Chenarani, Ahad Ghaemi, Alireza Hemmati
Fuel, 2025
A comprehensive review on elimination of thiophenic compounds from crude oils through combined extractive and adsorptive desulfurization using porous liquids
Mohsen Shayanmehr, Ahad Ghaemi, Alireza Hemmati
Chemical Engineering Journal Advances, 2025
Porous liquids (PLs) are a new class of hybrid materials that combine the permanent porosity of solids and the fluidity of liquids. Their distinctive dual functionality, facilitating both molecular adsorption and solvent-mediated extraction, renders them ideal candidates for the desulfurization of liquid fuels, particularly for the removal of thiophenic compounds. This review takes a critical assessment of PLs as combined extractive and adsorptive systems, specifically highlighting their application towards sulfur removal. A detailed analysis is given on their desulfurization performance, operational conditions, and removal mechanisms. Quantitative results show that MIL-101(Fe) functionalized with peroxo-polyoxometalates resulted in 100 %, 99.8 %, and 98.5 % removal of dibenzothiophene (DBT), 4-methyldibenzothiophene (4-MDBT), and 4,6-dimethyldibenzothiophene (4,6-DMDBT) (500 ppm) at 70 °C in 30 min. MIL-125(Ti) coupled with [Hnmp]HSO₄ IL exhibited 99.18 % DBT removal (1000 ppm) at 50 °C in a short duration of 10 min, whereas other systems like SBA-15/IL performed <60 % under more severe conditions. Apart from performance, this review discusses economic and environmental aspects, including solvent regeneration, energy efficiency, and system recyclability. Several PLs exhibit low volatility, thermal stability, and ease of recycling, resulting in minimal operational costs and a negligible environmental footprint. All in all, this work provides a critical and timely overview of PL-based solutions for next-generation desulfurization, offering strong prospects for scalable and sustainable fuel processing.
Dendrimers as versatile platforms for advanced biosensor development: A review on chemistry, synthesis, and performance enhancements
Fatemeh Aminian, Alireza Hemmati
Journal of Environmental Chemical Engineering, 2025
A review of nanostructured carbon dioxide sensors based on electrical and thermal conductivity
Firouzeh Salimian, Alireza Hemmati, Ahad Ghaemi
Results in Engineering, 2025
• This review focuses on new approaches of several types of technologies for synthesizing carbon dioxide sensors using conductometry. • Researchers have discussed ways to improve measurement performance, such as selectivity, sensitivity, response time, and recovery time, using different materials and catalysts. • The use of conductive sensors has increased due to their unique advantages, such as their wide detection range of 10 to 1000 ppm, long lifetime, and short response time for CO 2 detection. • If accuracy and fast response are considered, thermal conductivity sensors are better options. • Regarding cost and compatibility with electronic systems, electrical sensors also have great potential. This review focuses on new approaches of several types of technologies for synthesizing carbon dioxide sensors using conductometry. Researchers have discussed ways to improve measurement performance using different materials and catalysts, such as selectivity, sensitivity, response, and recovery time. From 2020 onwards, conductive sensors have increased due to their unique advantages, such as a wide detection range of 10 to 1000 ppm, long lifetime, and short response time for CO 2 detection. reliable and quantitative detection of CO₂ requires diverse material strategies capable of operating under various environmental conditions. In general, there are two types of conductive sensors: thermal and electrical conductive sensors with different specifications and can be chosen to suit specific applications, environments and budgets. If accuracy and fast response are considered, thermal conductive sensors are better options. However, in terms of cost and compatibility with electronic systems, electrical sensors also have great potential. This review discusses the types of nanomaterials used for CO 2 gas detection sensors, including metal oxide-based nanomaterials, polymer nanomaterials, carbon nanomaterials, and various nanocomposites. This review examines nanocomposites' electrical and thermal conductivity properties, how they are affected by adding specific nanoparticles, and how to control the composite's performance characteristics, such as thermal and electrical conductivity, by selecting appropriate nanoparticle fillers. Nanomaterials used in CO 2 sensing enable reliable and inexpensive sensors with high performance. Research has proven that semiconducting metal oxides exhibit high conductivity at high temperatures of 600 ºC.
Innovative approach to Pb (II) removal using zinc-based MOFs-derived carbon: In-depth analysis of adsorption mechanisms, isotherms, thermodynamics, and kinetics
Samira Ahmadzadeh, Alireza Hemmati
Results in Engineering, 2025
Assessment of metal extraction from e-waste using supported IL membrane with reliable comparison between RSM regression and ANN framework
Alireza Hemmati, Mehdi Asadollahzadeh, Rezvan Torkaman
Scientific Reports, 2024
Comprehensive investigation of isotherm, RSM, and ANN modeling of CO2 capture by multi-walled carbon nanotube
Zohreh Khoshraftar, Ahad Ghaemi, Alireza Hemmati
Scientific Reports, 2024
Forecasting Sauter mean droplet size and examining the range of droplet sizes in a Tenova liquid–liquid extraction column
Neshat Rahimpour, Hossein Bahmanyar, Alireza Hemmati, Mehdi Asadollahzadeh
Scientific Reports, 2024
Efficient CO2 adsorption using chitosan, graphene oxide, and zinc oxide composite
Farnoush Fathalian, Hamidreza Moghadamzadeh, Alireza Hemmati, Ahad Ghaemi
Scientific Reports, 2024
Facile synthesis of Persian gum–graphene oxide composite as a novel adsorbent for CO2 capture: characterization and optimization
Maryam Helmi, Zahra Khoshdouni Farahani, Alireza Hemmati, Ahad Ghaemi
Scientific Reports, 2024
Using NaOH@Graphene oxide-Fe3O4 as a magnetic heterogeneous catalyst for ultrasonic transesterification; experimental and modelling
Sepideh Moradi Haghighi, Alireza Hemmati, Hamidreza Moghadamzadeh, Ahad Ghaemi, Nahid Raoofi
Scientific Reports, 2024
Improving hypercrosslinked polymer CO2/N2 selective separation through tuning polymer's porous properties: Optimization using RSM-BBD
Forough Bahmei, Alireza Hemmati, Ahad Ghaemi, Maryam Bahreini
Journal of Co2 Utilization, 2024
Clinoptilolite and MCM-41 impregnated with chitosan as a green novel adsorbent for CO2 capture
Maryam Helmi, Alireza Hemmati, Ahad Ghaemi
Case Studies in Chemical and Environmental Engineering, 2024
Evaluating the efficiency of nanofiltration and reverse osmosis membranes for the removal of micro-pollutants using a machine learning approach
Parnian Masuodi, Fatemeh Bahmanzadegan, Alireza Hemmati, Ahad Ghaemi
Case Studies in Chemical and Environmental Engineering, 2024
Synthesis of the novel catalytic membrane of KOH/ Fe3O4-graphene oxide/PVDF for the production of biodiesel in a membrane reactor: Optimization with response surface methodology (RSM)
Tina Taherian, Alireza Hemmati
Renewable Energy, 2024
Application of MXenes on Separation Processes
Shanli Nezami, Farzad Moazami, Ahad Ghaemi, Alireza Hemmati
Mxenes Emerging 2d Materials, 2024
Properties of MXene
Shanli Nezami, Farzad Moazami, Maryam Helmi, Alireza Hemmati, Ahad Ghaemi
Mxenes Emerging 2d Materials, 2024
Improved water purification by PVDF ultrafiltration membrane modified with GO-PVA-NaAlg hydrogel
Armin Ghobadi Moghadam, Alireza Hemmati
Scientific Reports, 2023
Experimental modeling of mean drop size and dispersed phase holdup in rotating disc contactors, using RSM
Shaparak Mirzaei, Fatemeh Ardestani, Ahad Ghaemi, Alireza Hemmati, Mansour Shirvani
Chemical Engineering Journal Advances, 2023
Biodiesel production from Mastic oil via electrolytic transesterification: optimization using response surface methodology and engine test
Maryam Helmi, Mohammad Amin Sobati, Alireza Hemmati
Environmental Science and Pollution Research, 2023
Investigation of dispersed phase holdup in a Tenova pulsed liquid-liquid extraction column
Neshat Rahimpour, Hossein Bahmanyar, Alireza Hemmati, Mehdi Asadollahzadeh
Journal of the Taiwan Institute of Chemical Engineers, 2023
Synthesis and characterization of KOH@Graphene oxide-Fe3O4 as a magnetic composite adsorbent for CO2 capture
Maryam Helmi, Farzad Moazami, Alireza Hemmati, Ahad Ghaemi
Journal of Physics and Chemistry of Solids, 2023
Comparison of dispersed phase holdup and slip velocity in chemical systems with different interfacial tension in an L-shaped pulsed sieve-plate extraction column
Fatemeh Ardestani, Ahad Ghaemi, Alireza Hemmati, Jaber Safdari, Vahid Rafiei
Progress in Nuclear Energy, 2023
Synthesis, characterization and performance evaluation of NaOH@Chitosan-Fe3O4 as an adsorbent for CO2 capture
Maryam Helmi, Farzad Moazami, Ahad Ghaemi, Alireza Hemmati
Fuel, 2023
Comparative investigation of artificial neural network and response surface approach in the optimization of indium recovery from discarded LCD screen with the presence of ionic liquids
Alireza Hemmati, Mehdi Asadollahzadeh, Mehdi Derafshi, Mohammad Salimi, MohammadHossein Mahabadi Mahabad, Rezvan Torkaman
Minerals Engineering, 2023
Modeling of mass transfer coefficient using plug, axial dispersion and forward mixing models for extraction of uranium from uranyl nitrate solution by TBP/Kerosene in a horizontal-vertical pulsed sieve-plate extraction column
Fatemeh Ardestani, Ahad Ghaemi, Jaber Safdari, Alireza Hemmati
Chemical Engineering and Processing Process Intensification, 2023
A performance comparison of cyclopentyl methyl ether (CPME) and hexane solvents in oil extraction from sewage sludge for biodiesel production; RSM optimization
Mahsa Joorasty, Ahmad Rahbar-Kelishami, Alireza Hemmati
Journal of Molecular Liquids, 2022
Improving Bubble Size Distribution in a Fluidized Bed Reactor Using Secondary Distributor
Ahad Ghaemi, Alireza Hemmati
Theoretical Foundations of Chemical Engineering, 2022
Intelligent prediction models based on machine learning for CO2 capture performance by graphene oxide-based adsorbents
Farnoush Fathalian, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati
Scientific Reports, 2022
Production of ethylene glycol monobutyl ether through etherification of ethylene glycol using a nanostructured heterogeneous catalyst of amyberlyst-15
Borna Bayat, Kambiz Tahvildari, Alireza Hemmati, Amin Bazyari, Ahad Ghaemi
Process Safety and Environmental Protection, 2022
Production of biodiesel from salvia mirzayanii oil via electrolysis using KOH/Clinoptilolite as catalyst
Maryam Helmi, Alireza Hemmati, Kambiz Tahvildari
Journal of Environmental Health Science and Engineering, 2022
Investigation of operational parameters in the separation factor of praseodymium and neodymium from model NdFeB magnet-leaching solution in the solvent extraction: Optimization by response surface methodology
H. Gorzin, A. Ghaemi, A. Hemmati, A. Rahbar-Kelishami, A. Maleki
Scientia Iranica, 2022
Phosphomolybdic acid/chitosan as acid solid catalyst using for biodiesel production from pomegranate seed oil via microwave heating system: RSM optimization and kinetic study
Fatemeh Helmi, Maryam Helmi, Alireza Hemmati
Renewable Energy, 2022
Mean drop behavior in the standard liquid-liquid extraction systems on an L-shaped pulsed sieve-plate column: Experiment and modeling
Fatemeh Ardestani, Ahad Ghaemi, Jaber Safdari, Alireza Hemmati
Rsc Advances, 2022
Response surface methodology study of dispersed phase holdup and mean droplet size in a perforated rotating disc contactors (PRDC)
Alireza Hemmati, Ahad Ghaemi, Mehdi Asadollahzadeh
Separation Science and Technology Philadelphia, 2022
Converting waste cooking oil into biodiesel using phosphomolybdic acid/clinoptilolite as an innovative green catalyst via electrolysis procedure; optimization by response surface methodology (RSM)
Maryam Helmi, Kambiz Tahvildari, Alireza Hemmati, Parviz Aberoomand Azar, Aliakbar Safekordi
Fuel Processing Technology, 2022
Synthesis of magnetically solid base catalyst of NaOH/Chitosan-Fe3O4 for biodiesel production from waste cooking oil: Optimization, kinetics and thermodynamic studies
Maryam Helmi, Alireza Hemmati
Energy Conversion and Management, 2021
NaOH/clinoptilolite-Fe3O4 as a novel magnetic catalyst for producing biodiesel from Amygdalus scoparia oil: Optimization and kinetic study
Mahsa Joorasty, Alireza Hemmati, Ahmad Rahbar-Kelishami
Fuel, 2021
Experimental modeling and uncertainty analysis of dispersed phase holdup at flooding in a pulsed disc-doughnut column, case study: Response surface methodology and Monte-Carlo simulation
Benyamin Shakib, Ahad Ghaemi, Alireza Hemmati, Mehdi Asadollahzadeh
Progress in Nuclear Energy, 2021
Hydrodynamic behavior of standard liquid-liquid systems in Oldshue–Rushton extraction column; RSM and ANN modeling
Ahad Ghaemi, Alireza Hemmati, Mehdi Asadollahzadeh, Milad Molaee
Chemical Engineering and Processing Process Intensification, 2021
Biodiesel synthesis using clinoptilolite-Fe3O4-based phosphomolybdic acid as a novel magnetic green catalyst from salvia mirzayanii oil via electrolysis method: Optimization study by Taguchi method
Maryam Helmi, Mahdi Ghadiri, Kambiz Tahvildari, Alireza Hemmati
Journal of Environmental Chemical Engineering, 2021
Utilizing RSM for experimental modeling of mass transfer coefficients in a perforated rotating disc contactor (PRDC)
Alireza Hemmati, Ahad Ghaemi
Heat and Mass Transfer Waerme Und Stoffuebertragung, 2021
Non-equilibrium modeling of CO2 reactive-absorption process using sodium hydroxide–ammonia–water solution in a packed bed column
Ahad Ghaemi, Alireza Hemmati, Hossein Mashhadimoslem
Journal of the Iranian Chemical Society, 2021
Modeling of mass transfer coefficient using response surface methodology in a horizontal-vertical pulsed sieve-plate extraction column
Fatemeh Ardestani, Ahad Ghaemi, Jaber Safdari, Alireza Hemmati
Progress in Nuclear Energy, 2021
Numerical investigation of ethylbenzene dehydrogenation and nitrobenzene hydrogenation in a membrane reactor: Effect of operating conditions
Mahdi Ghadiri, Alireza Hemmati, Mashallah Rezakazemi
International Journal of Hydrogen Energy, 2021
Electrolyte solution of MDEA–PZ–TMS for CO2 absorption; response surface methodology and equilibrium modeling
Amir Hossein Behroozi, Mahsa Saeidi, Ahad Ghaemi, Alireza Hemmati, Niloofar Akbarzad
Environmental Technology and Innovation, 2021
Experimental investigation of uranium extraction from the industrial nuclear waste treatment plant by tri-butyl-phosphate
Ahad Ghaemi, Alireza Hemmati
Journal of Radioanalytical and Nuclear Chemistry, 2021
Parametric optimization of biodiesel synthesis from Capparis spinosa oil using NaOH/NaX as nanoheterogeneous catalyst by response surface methodology
Maryam Helmi, Kambiz Tahvildari, Alireza Hemmati
Brazilian Journal of Chemical Engineering, 2021
Enhancing Cerium Recovery from Leaching Solution of Glass Polishing Powder Waste Using Imidazolium Ionic Liquid
Mehdi Asadollahzadeh, Rezvan Torkaman, Meisam Torab-Mostaedi, Alireza Hemmati
Waste and Biomass Valorization, 2021
Phosphomolybdic acid/graphene oxide as novel green catalyst using for biodiesel production from waste cooking oil via electrolysis method: Optimization using with response surface methodology (RSM)
Maryam Helmi, Kambiz Tahvildari, Alireza Hemmati, Parviz Aberoomand azar, Aliakbar Safekordi
Fuel, 2021
Studies on effective interaction parameters in extraction of Pr and Nd using Aliquat 336 from NdFeB magnet-leaching solution: Multiple response optimizations by desirability function
Hesamoddin Gorzin, Ahad Ghaemi, Alireza Hemmati, Ali Maleki
Journal of Molecular Liquids, 2021
Mass transfer coefficient for PZ + CO2 + H2O system in a packed column
Ahad Ghaemi, Alireza Hemmati
Heat and Mass Transfer Waerme Und Stoffuebertragung, 2021
MXene-based membranes for water desalination
Amir Hossein Behroozi, Alireza Hemmati
Mxenes and their Composites Synthesis Properties and Potential Applications, 2021
RSM and ANN modeling of hold up, slip, and characteristic velocities in standard systems using pulsed disc-and-doughnut contactor column
Alireza Hemmati, Ahad Ghaemi, Mehdi Asadollahzadeh
Separation Science and Technology Philadelphia, 2021
POSS-amorphous thermoplastic nanocomposites
Mostafa Dehghani, Alireza Hemmati, Mashallah Rezakazemi, Mahdi Naseri Nosar, Mahdieh Pazirofteh, Mohammad Mesbah
Polyhedral Oligomeric Silsesquioxane Poss Polymer Nanocomposites from Synthesis to Applications, 2021
Efficient recovery of neodymium and praseodymium from NdFeB magnet-leaching phase with and without ionic liquid as a carrier in the supported liquid membrane
Mehdi Asadollahzadeh, Rezvan Torkaman, Meisam Torab-Mostaedi, Alireza Hemmati, Ahad Ghaemi
Chemical Papers, 2020
Equilibrium and kinetics of praseodymium and neodymium extraction from NdFeB magnet-leaching solutions with [R4N+][NO3−] using single drop column
Hesamoddin Gorzin, Ahad Ghaemi, Alireza Hemmati, Ali Maleki
Journal of Molecular Liquids, 2020
Modelling tyramine extraction from wastewater using a non-dispersive solvent extraction process
Mahdi Ghadiri, Alireza Hemmati, Ali Taghvaie Nakhjiri, Saeed Shirazian
Environmental Science and Pollution Research, 2020
High performance separation of gadolinium from samarium with the imidazolium ionic liquid through selective complexation of organophosphorus extractants
Mehdi Asadollahzadeh, Rezvan Torkaman, Meisam Torab-Mostaedi, Alireza Hemmati, Ahad Ghaemi
Environmental Technology and Innovation, 2020
Green imidazolium ionic liquid selectively facilitates Ce(III) ion transport through supported liquid membrane
Mehdi Asadollahzadeh, Rezvan Torkaman, Meisam Torab-Mostaedi, Ahad Ghaemi, Alireza Hemmati
International Journal of Environmental Analytical Chemistry, 2020
Cellulose acetate polymeric membrane fabrication by nonsolvent-induced phase separation process: Determination of velocities of individual components
Mashallah Rezakazemi, Alireza Hemmati, Saeed Shirazian
Journal of Non Equilibrium Thermodynamics, 2019
On the Interaction Between Erosion and Corrosion in Chromium Carbide Coating
A. R. Hemmati, S. M. Soltanieh, S. M. Masoudpanah
Journal of Bio and Tribo Corrosion, 2018
Mathematical Modeling and Simulation of Propylene Absorption Using Membrane Contactors
Arash Sadeghi, Alireza Hemmati, Mehdi Ghadiri, Saeed Shirazian
Chemical Engineering and Technology, 2017
Investigation of Salt and precipitating agent effect on the specific surface area and compressive strength of alumina catalyst support
Mostafa Mahmoudian, Alireza Hemmati, Hasan Hashemabadi, Ahad Ghaemi, Shahrokh Shahhosseini
Polish Journal of Chemical Technology, 2017
Effect of flow velocity and impact angle on erosion-corrosion behavior of chromium carbide coating
A. R. Hemmati, M. Soltanieh, S. M. Masoudpanah
Journal of Tribology, 2017
Use of axial dispersion model for determination of Sherwood number and mass transfer coefficients in a perforated rotating disc contactor
Mehdi Asadollahzadeh, Alireza Hemmati, Meisam Torab-Mostaedi, Mansour Shirvani, Ahad Ghaemi, ZahraSadat Mohsenzadeh
Chinese Journal of Chemical Engineering, 2017
Simulation of transport phenomena in porous membrane evaporators using computational fluid dynamics
Mehrnoush Mohammadi, Azam Marjani, Mehdi Asadollahzadeh, Alireza Hemmati, Seyyed Masoud Kazemi
Membrane Water Treatment, 2016
Mass transfer coefficients in a perforated rotating disc contactor (PRDC)
Alireza Hemmati, Mansour Shirvani, Meisam Torab-Mostaedi, Ahad Ghaemi
Chemical Engineering and Processing Process Intensification, 2016
CFD simulation for separation of ion from wastewater in a membrane contactor
Mehdi Ghadiri, Mehdi Asadollahzadeh, Alireza Hemmati
Journal of Water Process Engineering, 2015
Separation of greenhouse gases from gas mixtures using nanoporous polymeric membranes
Mehrnoush Mohammadi, Saeed Shirazian, Mehdi Asadollahzadeh, Ladan Jamshidy, Alireza Hemmati
Polymer Engineering and Science, 2015
A study of drop size distribution and mean drop size in a perforated rotating disc contactor (PRDC)
Alireza Hemmati, Meisam Torab-Mostaedi, Mansour Shirvani, Ahad Ghaemi
Chemical Engineering Research and Design, 2015
Mass transfer coefficients in a Kühni extraction column
Alireza Hemmati, Meisam Torab-Mostaedi, Mehdi Asadollahzadeh
Chemical Engineering Research and Design, 2015
Phenol removal from wastewater by means of nanoporous membrane contactors
Mehrdad Hemmati, Negin Nazari, Alireza Hemmati, Saeed Shirazian
Journal of Industrial and Engineering Chemistry, 2015
Biosorption of lanthanum and cerium from aqueous solutions by grapefruit peel: Equilibrium, kinetic and thermodynamic studies
Meisam Torab-Mostaedi, Mehdi Asadollahzadeh, Alireza Hemmati, Amir Khosravi
Research on Chemical Intermediates, 2015
Computational simulation of CO2 removal from gas mixtures by chemical absorbents in porous membranes
Reza Fazaeli, Seyed Mohammad Reza Razavi, Mehdi Sattari Najafabadi, Rezvan Torkaman, Alireza Hemmati
Rsc Advances, 2015
Adsorption of cadmium (II) and nickel (II) on dolomite powder
Mehrnoush Mohammadi, Ahad Ghaemi, Meisam Torab-Mostaedi, Mehdi Asadollahzadeh, Alireza Hemmati
Desalination and Water Treatment, 2015
Chemometric assisted ultrasound leaching-solid phase extraction followed by dispersive-solidification liquid-liquid microextraction for determination of organophosphorus pesticides in soil samples
Kamyar Ahmadi, Yaser Abdollahzadeh, Mehdi Asadollahzadeh, Alireza Hemmati, Hamed Tavakoli, Rezvan Torkaman
Talanta, 2015
Numerical simulation studies on heat and mass transfer using vacuum membrane distillation
Kambiz Tahvildari, Adel Zarabpour, Mehdi Ghadiri, Alireza Hemmati
Polymer Engineering and Science, 2014
Application of multi-factorial experimental design to successfully model and optimize inorganic arsenic speciation in environmental water samples by ultrasound assisted emulsification of solidified floating organic drop microextraction
Mehdi Asadollahzadeh, Nazly Niksirat, Hamed Tavakoli, Alireza Hemmati, Parvaneh Rahdari, Mehrnoush Mohammadi, Reza Fazaeli
Analytical Methods, 2014
Response surface methodology based on central composite design as a chemometric tool for optimization of dispersive-solidification liquid-liquid microextraction for speciation of inorganic arsenic in environmental water samples
Mehdi Asadollahzadeh, Hamed Tavakoli, Meisam Torab-Mostaedi, Ghaffar Hosseini, Alireza Hemmati
Talanta, 2014
Equilibrium, kinetic, and thermodynamic studies for biosorption of cadmium and nickel on grapefruit peel
Meisam Torab-Mostaedi, Mehdi Asadollahzadeh, Alireza Hemmati, Amir Khosravi
Journal of the Taiwan Institute of Chemical Engineers, 2013
Effect of hydraulic retention time and temperature on submerged membrane bioreactor (SMBR) performance
Alireza Hemmati, Mohsen Maghami Dolatabad, Fereshteh Naeimpoor, Afshin Pak, Toraj Mohammdi
Korean Journal of Chemical Engineering, 2012
Surface treatment of wood polymer composites for adhesive bonding
H. Moghadamzadeh, H. Rahimi, M. Asadollahzadeh, A.R. Hemmati
International Journal of Adhesion and Adhesives, 2011

Mohammad Salehi Maleh

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