Optimal descriptors as a tool to predict the thermal decomposition of polymers

被引:0
作者
Alla P. Toropova
Andrey A. Toropov
Valentin O. Kudyshkin
Danuta Leszczynska
Jerzy Leszczynski
机构
[1] Istituto di Ricerche Farmacologiche Mario Negri,IRCCS
[2] Uzbek Academy of Sciences,Institute of Polymer Chemistry and Physics
[3] Jackson State University,Department of Civil and Environmental Engineering, Interdisciplinary Nanotoxicity Center
[4] Jackson State University,Department of Chemistry and Biochemistry, Interdisciplinary Nanotoxicity Center
来源
Journal of Mathematical Chemistry | 2014年 / 52卷
关键词
QSPR; Monte Carlo method; Polymer; Thermal decomposition;
D O I
暂无
中图分类号
学科分类号
摘要
Quantitative structure-property relationship for the thermal decomposition of polymers is suggested. The data on architecture of monomers is used to represent polymers. The structures of monomers are represented by simplified molecular input-line entry system. The average statistical quality of the suggested quantitative structure-property relationships for prediction of molar thermal decomposition function Yd,1/2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {Y}_{\mathrm{d},1/2}$$\end{document} is the following: r2=0.970±0.01\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {r}^{2}=0.970 \pm 0.01$$\end{document} and RMSE=4.71±1.01(K×kg×mol-1)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {RMSE}=4.71\pm 1.01\,(\hbox {K}\times \hbox {kg}\times \hbox {mol}^{-1})$$\end{document}.
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页码:1171 / 1181
页数:10
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