A novel approach for estimation of solvent activity in polymer solutions using genetic programming

Akbar Asadi Tashvigh; Farzin Zokaee Ashtiani; Mohammad Karimi; Ahmad Okhovat

doi:10.1016/j.calphad.2015.07.005

A novel approach for estimation of solvent activity in polymer solutions using genetic programming

Akbar Asadi Tashvigh, Farzin Zokaee Ashtiani^*, Mohammad Karimi, Ahmad Okhovat

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

12 Citations (Scopus)

Abstract

In this paper, genetic programming (GP) as a novel approach for the explicit modeling the phase equilibria of polymer solutions is presented. The objective of this study is to develop robust model based on experimental data for prediction of solvent activity in polymer/solvent mixtures. Molecular weight, density, chemical structures of polymer and solvent, and concentration of polymer solution were considered as input parameters of the model. Activity of solvent is considered as output parameter of the model. Some statistical parameters were calculated in order to investigate the reliability of model. The results showed very well agreement with the experimental data with an average error of less than 3%.

Original language	English
Article number	1244
Pages (from-to)	35-41
Number of pages	7
Journal	Calphad: Computer Coupling of Phase Diagrams and Thermochemistry
Volume	51
DOIs	https://doi.org/10.1016/j.calphad.2015.07.005
Publication status	Published - 4 Aug 2015
Externally published	Yes

Keywords

Genetic programming
Phase equilibria
Polymer solution
Solvent activity

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10.1016/j.calphad.2015.07.005

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title = "A novel approach for estimation of solvent activity in polymer solutions using genetic programming",

abstract = "In this paper, genetic programming (GP) as a novel approach for the explicit modeling the phase equilibria of polymer solutions is presented. The objective of this study is to develop robust model based on experimental data for prediction of solvent activity in polymer/solvent mixtures. Molecular weight, density, chemical structures of polymer and solvent, and concentration of polymer solution were considered as input parameters of the model. Activity of solvent is considered as output parameter of the model. Some statistical parameters were calculated in order to investigate the reliability of model. The results showed very well agreement with the experimental data with an average error of less than 3\%.",

keywords = "Genetic programming, Phase equilibria, Polymer solution, Solvent activity",

author = "\{Asadi Tashvigh\}, Akbar and \{Zokaee Ashtiani\}, Farzin and Mohammad Karimi and Ahmad Okhovat",

year = "2015",

month = aug,

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doi = "10.1016/j.calphad.2015.07.005",

language = "English",

volume = "51",

pages = "35--41",

journal = "Calphad: Computer Coupling of Phase Diagrams and Thermochemistry",

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TY - JOUR

T1 - A novel approach for estimation of solvent activity in polymer solutions using genetic programming

AU - Asadi Tashvigh, Akbar

AU - Zokaee Ashtiani, Farzin

AU - Karimi, Mohammad

AU - Okhovat, Ahmad

PY - 2015/8/4

Y1 - 2015/8/4

N2 - In this paper, genetic programming (GP) as a novel approach for the explicit modeling the phase equilibria of polymer solutions is presented. The objective of this study is to develop robust model based on experimental data for prediction of solvent activity in polymer/solvent mixtures. Molecular weight, density, chemical structures of polymer and solvent, and concentration of polymer solution were considered as input parameters of the model. Activity of solvent is considered as output parameter of the model. Some statistical parameters were calculated in order to investigate the reliability of model. The results showed very well agreement with the experimental data with an average error of less than 3%.

AB - In this paper, genetic programming (GP) as a novel approach for the explicit modeling the phase equilibria of polymer solutions is presented. The objective of this study is to develop robust model based on experimental data for prediction of solvent activity in polymer/solvent mixtures. Molecular weight, density, chemical structures of polymer and solvent, and concentration of polymer solution were considered as input parameters of the model. Activity of solvent is considered as output parameter of the model. Some statistical parameters were calculated in order to investigate the reliability of model. The results showed very well agreement with the experimental data with an average error of less than 3%.

KW - Genetic programming

KW - Phase equilibria

KW - Polymer solution

KW - Solvent activity

UR - https://www.scopus.com/pages/publications/84938320645

U2 - 10.1016/j.calphad.2015.07.005

DO - 10.1016/j.calphad.2015.07.005

M3 - Article

AN - SCOPUS:84938320645

SN - 0364-5916

VL - 51

SP - 35

EP - 41

JO - Calphad: Computer Coupling of Phase Diagrams and Thermochemistry

JF - Calphad: Computer Coupling of Phase Diagrams and Thermochemistry

M1 - 1244

ER -

A novel approach for estimation of solvent activity in polymer solutions using genetic programming

Abstract

Keywords

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