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Engineering and Technology

D-Index
52
Citations
7164
World Ranking
3727
National Ranking
1078

Overview

Farhad Gharagheizi is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the fields of Engineering, Chemistry, and Materials Science, with specific focus areas including Inorganic Chemistry, Materials Chemistry, Mechanical Engineering, Biomedical Engineering, and Civil and Structural Engineering.

The scientist's work centers on several main topics, including:

  • Metal-Organic Frameworks: Synthesis and Applications
  • Carbon Dioxide Capture Technologies
  • Phase Equilibria and Thermodynamics
  • Covalent Organic Framework Applications
  • Machine Learning in Materials Science
  • Atmospheric and Environmental Gas Dynamics
  • Zeolite Catalysis and Synthesis

Farhad Gharagheizi has published in multiple peer-reviewed venues. Their frequent publication venues include:

  • The Journal of Physical Chemistry C
  • Industrial & Engineering Chemistry Research
  • ACS Applied Materials & Interfaces
  • Case Studies in Construction Materials
  • The Journal of Physical Chemistry B

Among recent papers authored or co-authored by Farhad Gharagheizi are:

  • "Comprehensive Assessment of the Accuracy of the Ideal Adsorbed Solution Theory for Predicting Binary Adsorption of Gas Mixtures in Porous Materials," 2021, Industrial & Engineering Chemistry Research
  • "Selecting Adsorbents to Separate Diverse Near-Azeotropic Chemicals," 2020, The Journal of Physical Chemistry C
  • "Curated Collection of More than 20,000 Experimentally Reported One-Dimensional Metal-Organic Frameworks," 2022, ACS Applied Materials & Interfaces

In addition, Gharagheizi has contributed to collaborative work including papers such as:

  • "A Collection of More than 900 Gas Mixture Adsorption Experiments in Porous Materials from Literature Meta-Analysis," 2020, Industrial & Engineering Chemistry Research
  • "Rheological behavior of a low crystallinity polyolefin-modified asphalt binder for flexible pavements," 2021, Case Studies in Construction Materials

Frequent collaborators in their research include David S. Sholl, Dai Tang, Jifeng Sun, Hanjun Fang, and Peter I. Ravikovitch. Collaboration networks indicate repeated partnerships, particularly with David S. Sholl.

Best Publications

  • Intelligent model for prediction of CO2 – Reservoir oil minimum miscibility pressure

    Amin Shokrollahi;Milad Arabloo;Farhad Gharagheizi;Farhad Gharagheizi;Amir H. Mohammadi

  • QSPR analysis for intrinsic viscosity of polymer solutions by means of GA-MLR and RBFNN

    Farhad Gharagheizi

  • Prediction of Standard Enthalpy of Formation by a QSPR Model

    Ali Vatani;Mehdi Mehrpooya;Farhad Gharagheizi

  • Artificial Neural Network modeling of solubility of supercritical carbon dioxide in 24 commonly used ionic liquids

    Ali Eslamimanesh;Farhad Gharagheizi;Amir H. Mohammadi;Amir H. Mohammadi;Dominique Richon

  • Phase equilibrium modeling of clathrate hydrates of methane, carbon dioxide, nitrogen, and hydrogen + water soluble organic promoters using Support Vector Machine algorithm

    Ali Eslamimanesh;Farhad Gharagheizi;Mohammad Illbeigi;Amir H. Mohammadi;Amir H. Mohammadi

  • A novel method for evaluation of asphaltene precipitation titration data

    Amir H. Mohammadi;Amir H. Mohammadi;Ali Eslamimanesh;Farhad Gharagheizi;Dominique Richon;Dominique Richon

  • Experimental study on the performance of mechanical cooling tower with two types of film packing

    Farhad Gharagheizi;Reza Hayati;Shohreh Fatemi

  • Reservoir oil viscosity determination using a rigorous approach

    Abdolhossein Hemmati-Sarapardeh;Amin Shokrollahi;Afshin Tatar;Farhad Gharagheizi;Farhad Gharagheizi

  • Asphaltene precipitation due to natural depletion of reservoir: Determination using a SARA fraction based intelligent model

    Abdolhossein Hemmati-Sarapardeh;Abdolhossein Hemmati-Sarapardeh;Reza Alipour-Yeganeh-Marand;Ali Naseri;Anoush Safiabadi

  • Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding

    Arash Kamari;Milad Arabloo;Amin Shokrollahi;Farhad Gharagheizi;Farhad Gharagheizi

  • A New Neural Network−Group Contribution Method for Estimation of Flash Point Temperature of Pure Components

    Farhad Gharagheizi;Reza Fareghi Alamdari;Mahmood Torabi Angaji

  • Prediction of standard chemical exergy by a three descriptors QSPR model

    Farhad Gharagheizi;Mehdi Mehrpooya

  • Use of Artificial Neural Network-Group Contribution Method to Determine Surface Tension of Pure Compounds

    Farhad Gharagheizi;Ali Eslamimanesh;Amir H. Mohammadi;Dominique Richon

  • New procedure to calculate the Hansen solubility parameters of polymers

    Farhad Gharagheizi

  • Prediction of Flash Point Temperature of Pure Components Using a Quantitative Structure–Property Relationship Model

    Farhad Gharagheizi;Reza Fareghi Alamdari

  • Solubility Parameters of Nonelectrolyte Organic Compounds: Determination Using Quantitative Structure–Property Relationship Strategy

    Farhad Gharagheizi;Ali Eslamimanesh;Farhad Farjood;Amir H. Mohammadi;Amir H. Mohammadi

  • Artificial Neural Network Modeling of Solubilities of 21 Commonly Used Industrial Solid Compounds in Supercritical Carbon Dioxide

    Farhad Gharagheizi;Ali Eslamimanesh;Amir H. Mohammadi;Dominique Richon

  • Determination of Critical Properties and Acentric Factors of Pure Compounds Using the Artificial Neural Network Group Contribution Algorithm

    Farhad Gharagheizi;Ali Eslamimanesh;Amir H. Mohammadi;Dominique Richon

  • Quantitative Structure−Property Relationship for Prediction of the Lower Flammability Limit of Pure Compounds

    Farhad Gharagheizi

  • Toward a predictive model for estimating dew point pressure in gas condensate systems

    Milad Arabloo;Amin Shokrollahi;Farhad Gharagheizi;Farhad Gharagheizi;Amir H. Mohammadi

Frequent Co-Authors

Amir H. Mohammadi
Amir H. Mohammadi University of KwaZulu-Natal
Ali Eslamimanesh
Ali Eslamimanesh OLI Systems , Inc.
Dominique Richon
Dominique Richon University of KwaZulu-Natal
Mehdi Mehrpooya
Mehdi Mehrpooya University of Tehran
Amin Shokrollahi
Amin Shokrollahi École Polytechnique Fédérale de Lausanne
Milad Arabloo
Milad Arabloo PERM Inc.
Ali Vatani
Ali Vatani University of Tehran
David S. Sholl
David S. Sholl Georgia Institute of Technology
Abdolhossein Hemmati-Sarapardeh
Abdolhossein Hemmati-Sarapardeh Shahid Bahonar University of Kerman
Alireza Bahadori
Alireza Bahadori Southern Cross University

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