Volume 21 (2024)
Volume 20 (2023)
Volume 19 (2022)
Volume 18 (2021)
Volume 17 (2020)
Volume 16 (2019)
Volume 15 (2018)
Volume 14 (2017)
Volume 13 (2016)
Volume 12 (2015)
Volume 11 (2014)
Volume 10 (2013)
Volume 9 (2012)
Volume 8 (2011)
Volume 7 (2010)
Volume 6 (2009)
Volume 5 (2008)
Volume 4 (2007)
Volume 3 (2006)
Volume 2 (2005)
Volume 1 (2004)
Modeling and Simulation
Prediction of true critical temperature and pressure of binary hydrocarbon mixtures: A Comparison between the artificial neural networks and the support vector machine

M. Etebarian; k. movagharnejad

Volume 16, Issue 2 , June 2019, , Pages 14-40

Abstract
  Two main objectives have been considered in this paper: providing a good model to predict the critical temperature and pressure of binary hydrocarbon mixtures, and comparing the efficiency of the artificial neural network algorithms and the support vector regression as two commonly used soft computing ...  Read More

Modeling and Simulation
Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models

A. Yousefi; k. movagharnejad

Volume 16, Issue 1 , March 2019, , Pages 83-100

Abstract
  Solubility data of solid in aqueous and different organic solvents are very important physicochemical properties considered in the design of the industrial processes and the theoretical studies. In this study, experimental solubility data of 666 pharmaceutical compounds in water and 712 pharmaceutical ...  Read More

Modeling and Simulation
Predicting the coefficients of the Daubert and Danner correlation using a neural network model

k. movagharnejad; F. Saffar

Volume 15, Issue 2 , May 2018, , Pages 78-90

Abstract
  In the present research, three different architectures were investigated to predict the coefficients of the Daubert and Danner equation for calculation of saturated liquid density. The first architecture with 4 network input parameters including critical temperature, critical pressure, critical volume ...  Read More

Modeling and Simulation
Liquid-liquid equilibrium data prediction using large margin nearest neighbor

mohsen pirdashti; kamyar movagharnejad; silvia Curteanu; Florin Leon; Farshad Rahimpour

Volume 13, Issue 4 , November 2016, , Pages 14-32

Abstract
  Guanidine hydrochloride has been widely used in the initial recovery steps of active protein from the inclusion bodies in aqueous two-phase system (ATPS). The knowledge of the guanidine hydrochloride effects on the liquid-liquid equilibrium (LLE) phase diagram behavior is still inadequate and no comprehensive ...  Read More