A novel method for predicting the flash points of organosilicon compounds from molecular structures

Yong Pan, Juncheng Jiang, Rui Wang, Xiao Zhu, Yinyan Zhang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A quantitative structure-property relationship (QSPR) study is performed to develop mathematical models for the prediction of the flash point (FP) of organosilicon compounds from their molecular structures. Various kinds of molecular descriptors were calculated to represent the molecular structures of organosilicon compounds, such as topological, charge, and geometric descriptors. The genetic algorithm combined with multiple linear regression (GA-MLR) is employed to a select optimal subset of descriptors that have a significant contribution to the overall FP property. The model with the best result is a five-variable multilinear model, which showed high prediction ability when the obtained root mean square error and average absolute error for the external test set were 14.11 and 11.1 K, respectively. The model was further compared with other previously published methods. The results indicate the superiority of the presented model and reveal that it can be effectively used to predict the FP of organosilicon compounds with only the knowledge of molecular structures. This study can provide a new way for predicting the FP of organosilicon compounds for the engineering field.

Original languageEnglish
Pages (from-to)130-139
Number of pages10
JournalFire and Materials
Volume37
Issue number2
DOIs
StatePublished - Mar 2013

Keywords

  • flash point
  • molecular structure
  • organosilicon compounds
  • prediction
  • quantitative structure-property relationship (QSPR)

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