Amir H. Mohammadi
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View article: Real-Time Exergy Analysis of a Cement Plant Using a Machine Learning Approach
Real-Time Exergy Analysis of a Cement Plant Using a Machine Learning Approach Open
The cement industry ranks among the most energy-intensive sectors worldwide, accounting for extensive consumption of non-renewable fuels and the release of substantial untapped waste heat. Traditional energy balance methods are inadequate …
View article: Methane hydrate dissociation conditions in the presence of triethanolamine aqueous solution: experimental measurement and thermodynamic modeling
Methane hydrate dissociation conditions in the presence of triethanolamine aqueous solution: experimental measurement and thermodynamic modeling Open
Alkanolamines are chemical compounds that possess both hydroxyl and amino functional groups. Natural gas processing plants utilize these compounds in the gas sweetening unit to remove acid gases from the natural gas stream. Several amines …
View article: Upgrading carbonated water with a green cationic surfactant extracted from avocado oil to reach low interfacial tension and improve oil swelling and wettability alteration mechanisms in the process of enhanced oil recovery from carbonate reservoirs
Upgrading carbonated water with a green cationic surfactant extracted from avocado oil to reach low interfacial tension and improve oil swelling and wettability alteration mechanisms in the process of enhanced oil recovery from carbonate reservoirs Open
View article: Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite
Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite Open
This research proposes a machine learning controlled method for removing the antibiotic oxytetracycline (OTC) from liquids through the use of nanostructured cupric oxide (CuO) nanoparticles. These nanoparticles are attached to magnetic chi…
View article: Machine-learning models for predicting CO2 solubility in various brine systems: implications for carbon geo-storage
Machine-learning models for predicting CO2 solubility in various brine systems: implications for carbon geo-storage Open
View article: Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models
Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models Open
Research uses both RANSAC Regressor and Monte Carlo Optimization to improve the performance of electrolysis/ultrasound/persulfate system which detoxifies petroleum-contaminated soils. The Artificial Intelligence (AI) models used to optimiz…
View article: Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms
Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms Open
This study focuses on optimizing cadmium reduction through the UV/malathion/sulfite reaction, leveraging the power of Artificial Intelligence (AI) models, specifically Gradient Boosting Regression (GBR), Support Vector Regression (SVR), an…
View article: Thermodynamic consistency assessment and modeling of methane and carbon dioxide hydrates dissociation conditions in the presence of deep eutectic solvents as eco-friendly inhibitors
Thermodynamic consistency assessment and modeling of methane and carbon dioxide hydrates dissociation conditions in the presence of deep eutectic solvents as eco-friendly inhibitors Open
View article: Prediction of BTEX concentrations in the air of Southern East Azerbaijan province, Iran using ensemble machine learning and feature analysis
Prediction of BTEX concentrations in the air of Southern East Azerbaijan province, Iran using ensemble machine learning and feature analysis Open
BTEX (Benzene, Toluene, Ethylbenzene, and Xylene) compounds are prominent air pollutants with severe implications for human health. Prolonged exposure to these volatile organic compounds (VOCs) has been associated with respiratory problems…
View article: Harnessing AI to revolutionize photocatalytic degradation of Tetracycline via optimized UV/ZrO2/NaOCl reaction pathways
Harnessing AI to revolutionize photocatalytic degradation of Tetracycline via optimized UV/ZrO2/NaOCl reaction pathways Open
This paper assesses the presentation of Gradient Boosting Regression (GBR), Ridge Regression (RR), and Particle Swarm Optimization (PSO) models in improving the photocatalytic destruction of antibiotic utilizing a UV/ZrO₂/NaOCl system. The…
View article: A Comparative Evaluation of Friction Theory, Free-Volume Theory, Entropy Scaling, and Helmholtz Energy Scaling Viscosity Models Coupled with the PρT-SAFT Equation of State for Pure and Binary Mixtures of Ethylene Glycols and Alkanolamines
A Comparative Evaluation of Friction Theory, Free-Volume Theory, Entropy Scaling, and Helmholtz Energy Scaling Viscosity Models Coupled with the PρT-SAFT Equation of State for Pure and Binary Mixtures of Ethylene Glycols and Alkanolamines Open
Ethylene glycols and alkanolamines play a crucial role in various industrial processes, particularly in natural gas processing. Accurate viscosity modeling for these substances is essential for designing and optimizing industrial operation…
View article: Crude oil viscosity reduction using <scp> TiO <sub>2</sub> </scp> , <scp>MgO</scp> , and <scp> Al <sub>2</sub> O <sub>3</sub> </scp> nanoparticles
Crude oil viscosity reduction using <span> TiO <sub>2</sub> </span> , <span>MgO</span> , and <span> Al <sub>2</sub> O <sub>3</sub> </span> nanoparticles Open
The viscosity of crude oil plays a crucial role in enhancing oil recovery and flow efficiency within well columns and pipelines. However, the production and transportation of heavier, more viscous crude oils pose significant challenges. Wh…
View article: Experimental investigation of surface activity, micellization behaviour, and enhanced oil recovery performance of saponin‐based green surfactants
Experimental investigation of surface activity, micellization behaviour, and enhanced oil recovery performance of saponin‐based green surfactants Open
In this study, three forms of saponin surfactants extracted from the Camellia sinensis plant (CS1, CS2, and CS3) were investigated. Related experiments were conducted to determine their characteristics and performance in the enhanced oil r…
View article: Advanced removal of butylparaben from aqueous solutions using magnetic molybdenum disulfide nanocomposite modified with chitosan/beta-cyclodextrin and parametric evaluation through sequential multi-objective machine learning algorithms
Advanced removal of butylparaben from aqueous solutions using magnetic molybdenum disulfide nanocomposite modified with chitosan/beta-cyclodextrin and parametric evaluation through sequential multi-objective machine learning algorithms Open
View article: Enhancing carbonated water efficiency in the fluid and rock surface activity and swelling behavior of crude oil using an anionic CO2-philic surfactant
Enhancing carbonated water efficiency in the fluid and rock surface activity and swelling behavior of crude oil using an anionic CO2-philic surfactant Open
View article: The effect of diethyl ether on interfacial tension and oil swelling in crude oil-brine system
The effect of diethyl ether on interfacial tension and oil swelling in crude oil-brine system Open
Solvent injection, a proven method in enhanced oil recovery (EOR), has shown substantial enhancements in oil recovery compared to conventional waterflooding methods. Interfacial tension (IFT) is a critical factor that determines the amount…
View article: Leveraging artificial intelligence models (GBR, SVR, and GA) for efficient chromium reduction via UV/trichlorophenol/sulfite reaction
Leveraging artificial intelligence models (GBR, SVR, and GA) for efficient chromium reduction via UV/trichlorophenol/sulfite reaction Open
View article: ASO Visual Abstract: The Transcriptomic Landscape of Appendiceal Primary and Metastatic Tumors are Distinct
ASO Visual Abstract: The Transcriptomic Landscape of Appendiceal Primary and Metastatic Tumors are Distinct Open
View article: Performance Evaluation of PρT-SAFT, PρT-PC-SAFT, PC-SAFT, and CPA Equations of State for Predicting Density, Thermal Expansion Coefficient, Isothermal Compressibility, Isobaric Heat Capacity, Speed of Sound, and Saturated Vapor Pressure of Three Pure Ethylene Glycols and Their Mixtures
Performance Evaluation of PρT-SAFT, PρT-PC-SAFT, PC-SAFT, and CPA Equations of State for Predicting Density, Thermal Expansion Coefficient, Isothermal Compressibility, Isobaric Heat Capacity, Speed of Sound, and Saturated Vapor Pressure of Three Pure Ethylene Glycols and Their Mixtures Open
Ethylene glycols are a group of versatile industrial solvents with broad applications across various sectors. Accurate thermodynamic modeling of these compounds is essential for enhancing their utilization and optimizing industrial process…
View article: The Impact of Entrepreneurship Education through Active Learning and the Learning Office Program on Entrepreneurial Development: The Mediating Role of Entrepreneurial Attitudes and Intentions
The Impact of Entrepreneurship Education through Active Learning and the Learning Office Program on Entrepreneurial Development: The Mediating Role of Entrepreneurial Attitudes and Intentions Open
View article: Health risk assessment of heavy metals/metalloid caused by using sewage sludge in agriculture
Health risk assessment of heavy metals/metalloid caused by using sewage sludge in agriculture Open
The use of sewage sludge in agriculture is considered as an available option, especially in developing countries. However, due to sludge pollutants, including heavy metals/metalloid as potentially toxic elements (PTE), there are serious he…
View article: Molecular Pathway and Immune Profile Analysis of IPMN-Derived Versus PanIN-Derived Pancreatic Ductal Adenocarcinomas
Molecular Pathway and Immune Profile Analysis of IPMN-Derived Versus PanIN-Derived Pancreatic Ductal Adenocarcinomas Open
Intraductal papillary mucinous neoplasms (IPMN) are commonly detected pancreatic cysts that may transform into pancreatic ductal adenocarcinoma (PDAC). Predicting which IPMNs will progress to PDAC remains a clinical challenge. Moreover, id…
View article: The Impact of Entrepreneurship Education through Active Learning and the Learning Office Program on Entrepreneurial Development: The Mediating Role of Entrepreneurial Attitudes and Intentions
The Impact of Entrepreneurship Education through Active Learning and the Learning Office Program on Entrepreneurial Development: The Mediating Role of Entrepreneurial Attitudes and Intentions Open
This study investigates the impact of entrepreneurship education (EE) through Active Learning (AL) and the Learning Office Program (LO) on entrepreneurial development, employing the Theory of Planned Behavior (TPB) as a theoretical framewo…
View article: Modeling and estimation of CO2 capture by porous liquids through machine learning
Modeling and estimation of CO2 capture by porous liquids through machine learning Open
View article: Chemical enhanced oil recovery from shale‐rich tight carbonate reservoirs using 2‐butoxyethanol as a mutual solvent and diluted seawater
Chemical enhanced oil recovery from shale‐rich tight carbonate reservoirs using 2‐butoxyethanol as a mutual solvent and diluted seawater Open
Oil production from tight reservoirs due to their very low permeability and high capillary pressure requires complex operations and materials, so that hydraulic fracturing in these reservoirs is recommended before any chemical injection. T…
View article: Molecular Pathway and Immune Profile Analysis of IPMN-Derived versus PanIN-Derived Pancreatic Ductal Adenocarcinomas
Molecular Pathway and Immune Profile Analysis of IPMN-Derived versus PanIN-Derived Pancreatic Ductal Adenocarcinomas Open
Introduction: Intraductal papillary mucinous neoplasms (IPMN) are commonly-detected pancreatic cysts that may transform into pancreatic ductal adenocarcinoma (PDAC). Predicting which IPMNs will progress to PDAC remains a clinical challenge…
View article: Molecular simulation-based insights into dye pollutant adsorption: A perspective review
Molecular simulation-based insights into dye pollutant adsorption: A perspective review Open
Growing concerns about environmental pollution have highlighted the need for efficient and sustainable methods to remove dye contamination from various ecosystems. In this context, computational methods such as molecular dynamics (MD), Mon…
View article: Assessing the impact of geochemical mechanism and interpolation factor selection on the precision of low-salinity waterflooding modelling: a comparative study
Assessing the impact of geochemical mechanism and interpolation factor selection on the precision of low-salinity waterflooding modelling: a comparative study Open
The efficacy of low salinity waterflooding (LSWF) as an enhanced oil recovery (EOR) method in carbonate formations has been well established; however, its geochemical modelling in such reservoirs remains insufficiently explored. This study…
View article: Advancements in molecular simulation for understanding pharmaceutical pollutant Adsorption: A State-of-the-Art review
Advancements in molecular simulation for understanding pharmaceutical pollutant Adsorption: A State-of-the-Art review Open
The contamination of natural water resources by pharmaceutical pollutants has become a significant environmental concern. Traditional experimental approaches for understanding the adsorption behavior of these contaminants on different surf…
View article: A non‐ionic green surfactant extracted from the <i>Anabasis setifera</i> plant for improving bulk properties of <scp> CO <sub>2</sub> </scp> ‐foam in the process of enhanced oil recovery from carbonate reservoirs
A non‐ionic green surfactant extracted from the <i>Anabasis setifera</i> plant for improving bulk properties of <span> CO <sub>2</sub> </span> ‐foam in the process of enhanced oil recovery from carbonate reservoirs Open
Foam, as a gas‐in‐liquid colloid, has a higher appearance viscosity than the one of both gas and liquid that form it. Adjusting the mobility ratio of the injected fluid–oil system and increasing gas diffusion in the foam injection process …