| 1 |
Sulfur dioxide solubility prediction in ionic liquids by a group contribution - LSSVM model
Baghban A, Sasanipour J, Habibzadeh S, Zhang ZE
Chemical Engineering Research & Design, 142, 44, 2019 |
| 2 |
Integrated ionic liquid and process design involving azeotropic separation processes
Chen YQ, Gani R, Kontogeorgis GM, Woodley JM
Chemical Engineering Science, 203, 402, 2019 |
| 3 |
Estimating solubility of supercritical H2S in ionic liquids through a hybrid LSSVM chemical structure model
Baghban A, Sasanipour J, Habibzadeh S, Zhang ZE
Chinese Journal of Chemical Engineering, 27(3), 620, 2019 |
| 4 |
Modeling of solid-liquid equilibrium using a modified group contribution based NRTL model
Moudjari Y, Louaer W, Meniai AH
Fluid Phase Equilibria, 492, 118, 2019 |
| 5 |
Estimation of the critical constants of organic compounds via a new group contribution method
Tahami S, Movagharnejad K, Ghasemitabar H
Fluid Phase Equilibria, 494, 45, 2019 |
| 6 |
Thermochemical properties of alkaline-earth metals borates of a series of MB8O11(OH)(4)center dot xH(2)O (M = Ca, Sr, Ba; x=0, 3)
Wang JF, Liang P
Journal of Chemical Thermodynamics, 134, 1, 2019 |
| 7 |
Estimation of physical properties of amino acids by group-contribution method
Jhamb S, Liang XD, Gani R, Hukkerikar AS
Chemical Engineering Science, 175, 148, 2018 |
| 8 |
Prediction of acid dissociation constants of organic compounds using group contribution methods
Zhou T, Jhamb S, Liang XD, Sundmacher K, Gani R
Chemical Engineering Science, 183, 95, 2018 |
| 9 |
Measuring and predicting sooting tendencies of oxygenates, alkanes, alkenes, cycloalkanes, and aromatics on a unified scale
Das DD, John PCS, McEnally CS, Kim S, Pfefferle LD
Combustion and Flame, 190, 349, 2018 |
| 10 |
A machine learning based computer-aided molecular design/screening methodology for fragrance molecules
Zhang L, Mao HT, Liu LL, Du J, Gani R
Computers & Chemical Engineering, 115, 295, 2018 |
