Lista de obras - Farhad Gharagheizi - Dominio Público Uruguay

A New Neural Network Group Contribution Method for Estimation of Upper Flash Point of Pure Chemicals

A QSPR model for estimation of lower flammability limit temperature of pure compounds based on molecular structure

artículo científico publicado en 2009

A QSPR model for prediction of diffusion coefficient of non-electrolyte organic compounds in air at ambient condition

artículo científico publicado en 2011

A group contribution model for determining the vaporization enthalpy of organic compounds at the standard reference temperature of 298K

A new group contribution-based model for estimation of lower flammability limit of pure compounds

artículo científico publicado en 2009

A novel method for evaluation of asphaltene precipitation titration data

A statistical method for evaluation of the experimental phase equilibrium data of simple clathrate hydrates

A “non-linear” quantitative structure–property relationship for the prediction of electrical conductivity of ionic liquids

scholarly article by Farhad Gharagheizi et al published September 2013 in Chemical Engineering Science

Accurate prediction of the toxicity of benzoic acid compounds in mice via oral without using any computer codes

artículo científico publicado en 2012

An accurate model for prediction of autoignition temperature of pure compounds ⬇️

artículo científico publicado el 15 de febrero de 2011

An assessment test for phase equilibrium data of water soluble and insoluble clathrate hydrate formers

article published in 2013

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

scholarly article by Farhad Gharagheizi et al published 5 January 2011 in Industrial & Engineering Chemistry Research

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

scholarly article by Ali Eslamimanesh et al published July 2011 in Chemical Engineering Science

Assessment of clathrate hydrate phase equilibrium data for CO2+CH4/N2+water system

Assessment test for glycol loss in gaseous system

Assessment test of sulfur content of gases

Correction to Corresponding States Method for Determination of the Viscosity of Gases at Atmospheric Pressure

scholarly article published in Industrial & Engineering Chemistry Research

Correction: Vatani, A., et al. Prediction of Standard Enthalpy of Formation by a QSPR Model. Int. J. Mol. Sci. 2007, 8, 407–432.

artículo científico publicado en 2009

Corresponding States Method for Determination of the Viscosity of Gases at Atmospheric Pressure

Corresponding States Method for Evaluation of the Solubility Parameters of Chemical Compounds

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

scholarly article by Farhad Gharagheizi et al published 12 May 2011 in Journal of Chemical & Engineering Data

Determination of Parachor of Various Compounds Using an Artificial Neural Network−Group Contribution Method

scholarly article by Farhad Gharagheizi et al published 4 May 2011 in Industrial & Engineering Chemistry Research

Determination of Vapor Pressure of Chemical Compounds: A Group Contribution Model for an Extremely Large Database

article

Determination of the normal boiling point of chemical compounds using a quantitative structure–property relationship strategy: Application to a very large dataset

Development of a LSSVM-GC model for estimating the electrical conductivity of ionic liquids

Development of a general model for determination of thermal conductivity of liquid chemical compounds at atmospheric pressure

Development of a group contribution method for determination of viscosity of ionic liquids at atmospheric pressure

article

Development of a group contribution method for estimating the thermal decomposition temperature of ionic liquids

Development of a quantitative structure–liquid thermal conductivity relationship for pure chemical compounds

article

Development of corresponding states model for estimation of the surface tension of chemical compounds

article

Diagnosis of asphaltene stability in crude oil through “two parameters” SVM model

article

Empirical Method for Representing the Flash-Point Temperature of Pure Compounds

Empirical method for estimation of Henry’s law constant of non-electrolyte organic compounds in water

article

Evaluation of Thermal Conductivity of Gases at Atmospheric Pressure through a Corresponding States Method

Evaluation of experimental data for wax and diamondoids solubility in gaseous systems

Gas Hydrate Phase Equilibrium in Porous Media: Mathematical Modeling and Correlation

Gas hydrate phase equilibrium in porous media: An assessment test for experimental data

Group Contribution-Based Method for Determination of Solubility Parameter of Nonelectrolyte Organic Compounds

article

Group contribution model for determination of molecular diffusivity of non-electrolyte organic compounds in air at ambient conditions

Handling a very large data set for determination of surface tension of chemical compounds using Quantitative Structure–Property Relationship strategy

article by Farhad Gharagheizi et al published November 2011 in Chemical Engineering Science

Phase Equilibrium Modeling of Structure H Clathrate Hydrates of Methane + Water “Insoluble” Hydrocarbon Promoter Using Group Contribution-Support Vector Machine Technique

Phase Equilibrium Modeling of Structure H Clathrate Hydrates of Methane + Water “Insoluble” Hydrocarbon Promoter Using QSPR Molecular Approach

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

Prediction of Standard Enthalpy of Formation by a QSPR Model

artículo científico publicado en 2007

Prediction of molecular diffusivity of pure components into air: a QSPR approach

artículo científico publicado en 2008

Prediction of some important physical properties of sulfur compounds using quantitative structure-properties relationships

artículo científico publicado en 2008

Prediction of upper flammability limit percent of pure compounds from their molecular structures

artículo científico publicado en 2009

QSPR approach for determination of parachor of non-electrolyte organic compounds

article

QSPR molecular approach for representation/prediction of very large vapor pressure dataset

Quantitative structure—property relationship for thermal decomposition temperature of ionic liquids

Reply to “Comment on ‘Group Contribution-Based Method for Determination of Solubility Parameter of Nonelectrolyte Organic Compounds’ and ‘Solubility Parameters of Nonelectrolyte Organic Compounds: Determination Using Quantitative Structure–

article

Representation and Prediction of Molecular Diffusivity of Nonelectrolyte Organic Compounds in Water at Infinite Dilution Using the Artificial Neural Network-Group Contribution Method

article

Representation/Prediction of Solubilities of Pure Compounds in Water Using Artificial Neural Network−Group Contribution Method

scholarly article by Farhad Gharagheizi et al published 14 April 2011 in Journal of Chemical & Engineering Data

Response to comment on “QSPR approach for determination of parachor of non-electrolyte organic compounds” [Chem. Eng. Sci. 66 (2012) 2959–2967]

scholarly article by Farhad Gharagheizi et al published August 2013 in Chemical Engineering Science

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

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

scholarly article by Farhad Gharagheizi et al published 12 May 2011 in Journal of Chemical & Engineering Data

Lista de obras de Farhad Gharagheizi

A New Neural Network Group Contribution Method for Estimation of Upper Flash Point of Pure Chemicals

A QSPR model for estimation of lower flammability limit temperature of pure compounds based on molecular structure

A QSPR model for prediction of diffusion coefficient of non-electrolyte organic compounds in air at ambient condition

A group contribution model for determining the vaporization enthalpy of organic compounds at the standard reference temperature of 298K

A new group contribution-based model for estimation of lower flammability limit of pure compounds

A novel method for evaluation of asphaltene precipitation titration data

A statistical method for evaluation of the experimental phase equilibrium data of simple clathrate hydrates

A “non-linear” quantitative structure–property relationship for the prediction of electrical conductivity of ionic liquids

Accurate prediction of the toxicity of benzoic acid compounds in mice via oral without using any computer codes

An accurate model for prediction of autoignition temperature of pure compounds ⬇️

An assessment test for phase equilibrium data of water soluble and insoluble clathrate hydrate formers

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

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

Assessment of clathrate hydrate phase equilibrium data for CO2+CH4/N2+water system

Assessment test for glycol loss in gaseous system

Assessment test of sulfur content of gases

Correction to Corresponding States Method for Determination of the Viscosity of Gases at Atmospheric Pressure

Correction: Vatani, A., et al. Prediction of Standard Enthalpy of Formation by a QSPR Model. Int. J. Mol. Sci. 2007, 8, 407–432.

Corresponding States Method for Determination of the Viscosity of Gases at Atmospheric Pressure

Corresponding States Method for Evaluation of the Solubility Parameters of Chemical Compounds

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

Determination of Parachor of Various Compounds Using an Artificial Neural Network−Group Contribution Method

Determination of Vapor Pressure of Chemical Compounds: A Group Contribution Model for an Extremely Large Database

Determination of the normal boiling point of chemical compounds using a quantitative structure–property relationship strategy: Application to a very large dataset

Development of a LSSVM-GC model for estimating the electrical conductivity of ionic liquids

Development of a general model for determination of thermal conductivity of liquid chemical compounds at atmospheric pressure

Development of a group contribution method for determination of viscosity of ionic liquids at atmospheric pressure

Development of a group contribution method for estimating the thermal decomposition temperature of ionic liquids

Development of a quantitative structure–liquid thermal conductivity relationship for pure chemical compounds

Development of corresponding states model for estimation of the surface tension of chemical compounds

Diagnosis of asphaltene stability in crude oil through “two parameters” SVM model

Empirical Method for Representing the Flash-Point Temperature of Pure Compounds

Empirical method for estimation of Henry’s law constant of non-electrolyte organic compounds in water

Evaluation of Thermal Conductivity of Gases at Atmospheric Pressure through a Corresponding States Method

Evaluation of experimental data for wax and diamondoids solubility in gaseous systems

Gas Hydrate Phase Equilibrium in Porous Media: Mathematical Modeling and Correlation

Gas hydrate phase equilibrium in porous media: An assessment test for experimental data

Group Contribution-Based Method for Determination of Solubility Parameter of Nonelectrolyte Organic Compounds

Group contribution model for determination of molecular diffusivity of non-electrolyte organic compounds in air at ambient conditions

Handling a very large data set for determination of surface tension of chemical compounds using Quantitative Structure–Property Relationship strategy

Phase Equilibrium Modeling of Structure H Clathrate Hydrates of Methane + Water “Insoluble” Hydrocarbon Promoter Using Group Contribution-Support Vector Machine Technique

Phase Equilibrium Modeling of Structure H Clathrate Hydrates of Methane + Water “Insoluble” Hydrocarbon Promoter Using QSPR Molecular Approach

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

Prediction of Standard Enthalpy of Formation by a QSPR Model

Prediction of molecular diffusivity of pure components into air: a QSPR approach

Prediction of some important physical properties of sulfur compounds using quantitative structure-properties relationships

Prediction of upper flammability limit percent of pure compounds from their molecular structures

QSPR approach for determination of parachor of non-electrolyte organic compounds

QSPR molecular approach for representation/prediction of very large vapor pressure dataset

Quantitative structure—property relationship for thermal decomposition temperature of ionic liquids

Reply to “Comment on ‘Group Contribution-Based Method for Determination of Solubility Parameter of Nonelectrolyte Organic Compounds’ and ‘Solubility Parameters of Nonelectrolyte Organic Compounds: Determination Using Quantitative Structure–

Representation and Prediction of Molecular Diffusivity of Nonelectrolyte Organic Compounds in Water at Infinite Dilution Using the Artificial Neural Network-Group Contribution Method

Representation/Prediction of Solubilities of Pure Compounds in Water Using Artificial Neural Network−Group Contribution Method

Response to comment on “QSPR approach for determination of parachor of non-electrolyte organic compounds” [Chem. Eng. Sci. 66 (2012) 2959–2967]

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

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