New Neural Network Group Contribution Model for Estimation of Lower Flammability Limit Temperature of Pure Compounds

Farhad Gharagheizi

doi:10.1021/ie9003738

New Neural Network Group Contribution Model for Estimation of Lower Flammability Limit Temperature of Pure Compounds

Industrial & Engineering Chemistry Research ◽

10.1021/ie9003738 ◽

2009 ◽

Vol 48 (15) ◽

pp. 7406-7416 ◽

Cited By ~ 33

Author(s):

Farhad Gharagheizi

Keyword(s):

Neural Network ◽

Group Contribution ◽

Flammability Limit ◽

Pure Compounds ◽

Group Contribution Model ◽

Lower Flammability Limit

Download Full-text

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

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2009.05.023 ◽

2009 ◽

Vol 170 (2-3) ◽

pp. 595-604 ◽

Cited By ~ 57

Author(s):

Farhad Gharagheizi

Keyword(s):

Group Contribution ◽

Flammability Limit ◽

Pure Compounds ◽

Lower Flammability Limit

Download Full-text

Viscosity of Ionic Liquids: An Extensive Database and a New Group Contribution Model Based on a Feed-Forward Artificial Neural Network

Journal of Chemical Information and Modeling ◽

10.1021/ci500206u ◽

2014 ◽

Vol 54 (5) ◽

pp. 1311-1324 ◽

Cited By ~ 113

Author(s):

Kamil Paduszyński ◽

Urszula Domańska

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Ionic Liquids ◽

Group Contribution ◽

Feed Forward ◽

Model Based ◽

Group Contribution Model ◽

Artificial Neural

Download Full-text

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

Journal of Chemical & Engineering Data ◽

10.1021/je101061t ◽

2011 ◽

Vol 56 (4) ◽

pp. 720-726 ◽

Cited By ~ 41

Author(s):

Farhad Gharagheizi ◽

Ali Eslamimanesh ◽

Amir H. Mohammadi ◽

Dominique Richon

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Group Contribution ◽

Group Contribution Method ◽

Pure Compounds ◽

Artificial Neural

Download Full-text

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

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2009.03.083 ◽

2009 ◽

Vol 169 (1-3) ◽

pp. 217-220 ◽

Cited By ~ 28

Author(s):

Farhad Gharagheizi

Keyword(s):

Molecular Structure ◽

Flammability Limit ◽

Qspr Model ◽

Pure Compounds ◽

Lower Flammability Limit

Download Full-text

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

Energy & Fuels ◽

10.1021/ef800375b ◽

2008 ◽

Vol 22 (5) ◽

pp. 3037-3039 ◽

Cited By ~ 39

Author(s):

Farhad Gharagheizi

Keyword(s):

Quantitative Structure ◽

Structure Property ◽

Flammability Limit ◽

Quantitative Structure Property Relationship ◽

Property Relationship ◽

Structure Property Relationship ◽

Pure Compounds ◽

Lower Flammability Limit

Download Full-text

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

Journal of Chemical & Engineering Data ◽

10.1021/je2001045 ◽

2011 ◽

Vol 56 (5) ◽

pp. 2587-2601 ◽

Cited By ~ 70

Author(s):

Farhad Gharagheizi ◽

Ali Eslamimanesh ◽

Amir H. Mohammadi ◽

Dominique Richon

Keyword(s):

Neural Network ◽

Surface Tension ◽

Artificial Neural Network ◽

Group Contribution ◽

Group Contribution Method ◽

Pure Compounds ◽

Artificial Neural

Download Full-text

Prediction of enthalpy of fusion of pure compounds using an Artificial Neural Network-Group Contribution method

Thermochimica Acta ◽

10.1016/j.tca.2011.04.001 ◽

2011 ◽

Vol 521 (1-2) ◽

pp. 37-40 ◽

Cited By ~ 27

Author(s):

Farhad Gharagheizi ◽

Gholam Reza Salehi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Group Contribution ◽

Enthalpy Of Fusion ◽

Group Contribution Method ◽

Pure Compounds ◽

Artificial Neural

Download Full-text

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

Journal of Chemical & Engineering Data ◽

10.1021/je200019g ◽

2011 ◽

Vol 56 (5) ◽

pp. 2460-2476 ◽

Cited By ~ 49

Author(s):

Farhad Gharagheizi ◽

Ali Eslamimanesh ◽

Amir H. Mohammadi ◽

Dominique Richon

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Group Contribution ◽

Critical Properties ◽

Pure Compounds ◽

Artificial Neural

Download Full-text

Prediction of the lower flammability limit percent in air of pure compounds from their molecular structures

Fire Safety Journal ◽

10.1016/j.firesaf.2013.04.007 ◽

2013 ◽

Vol 59 ◽

pp. 188-201 ◽

Cited By ~ 16

Author(s):

Tareq A. Albahri

Keyword(s):

Molecular Structures ◽

Flammability Limit ◽

Pure Compounds ◽

Lower Flammability Limit

Download Full-text

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

Fluid Phase Equilibria ◽

10.1016/j.fluid.2013.06.046 ◽

2013 ◽

Vol 354 ◽

pp. 265-285 ◽

Cited By ~ 16

Author(s):

Farhad Gharagheizi ◽

Poorandokht Ilani-Kashkouli ◽

William E. Acree ◽

Amir H. Mohammadi ◽

Deresh Ramjugernath

Keyword(s):

Organic Compounds ◽

Group Contribution ◽

Reference Temperature ◽

Sublimation Enthalpy ◽

Group Contribution Model

Download Full-text