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

Physical Properties of Molecular Crystals, Liquids and Glasses

Inés Ward · Physics Bulletin · 1968 · 1.2K citations

Natural Sciences, Chemistry, Physics +14

Group-contribution based estimation of pure component properties

Jorge A. Marrero, Rafiqul Gani · Fluid Phase Equilibria · 2001 · 1.2K citations

Natural Sciences, Materials Engineering, Materials Science +7

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

Farhad Gharagheizi · Computational Materials Science · 2007 · 145 citations

Natural Sciences, Chemical Engineering, Chemistry +15

Rainfall estimation using artificial neural network group

Ming Zhang, John Fulcher, Roderick A. Scofield · Neurocomputing · 1997 · 59 citations

Natural Resources, Earth Sciences, Hydrology +12

Prediction of Henry’s Law Constant of Organic Compounds in Water from a New Group-Contribution-Based Model

Farhad Gharagheizi, Reza Abbasi, Behnam Tirandazi · Industrial & Engineering Chemistry Research · 2010 · 52 citations

Natural Sciences, Chemical Engineering, Chemistry +15