A group contribution method to predict the glass transition temperature of ionic liquids

Thermochimica Acta

Volumn 528, Issue , 2012, Pages 38-44

  Lazzús, Juan A ^a  

^a DEPARTAMENTO DE BIOLOGÍA   (Chile)

Author keywords

Genetic algorithms; Glass transition temperature; Group contribution method; Ionic liquids; Property estimation

Indexed keywords

AVERAGE DEVIATION; CORRELATION COEFFICIENT; EXPERIMENTAL DATA; GLASS POINTS; GROUP CONTRIBUTION METHOD; MULTIVARIATE LINEAR REGRESSIONS; OPTIMUM PARAMETERS; PROPERTY ESTIMATION; SIMPLE GROUPS;

FORECASTING; GENETIC ALGORITHMS; GLASS; GLASS TRANSITION; TEMPERATURE;

IONIC LIQUIDS;

EID: 84855337210     PISSN: 00406031     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tca.2011.11.004     Document Type: Article

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