z-logo
Premium
A general quantitative structure–property relationship treatment for dielectric constants of polymers
Author(s) -
Xu Jie,
Wang Lei,
Liang Guijie,
Wang Luoxin,
Shen Xiaolin
Publication year - 2011
Publication title -
polymer engineering and science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.503
H-Index - 111
eISSN - 1548-2634
pISSN - 0032-3888
DOI - 10.1002/pen.22016
Subject(s) - polymer , multilinear map , quantitative structure–activity relationship , materials science , dielectric , universality (dynamical systems) , repeatability , test set , set (abstract data type) , mathematics , computer science , statistics , composite material , machine learning , pure mathematics , physics , optoelectronics , quantum mechanics , programming language
The dielectric constant (ε) of a polymer represents the capacitance of the polymer relative to a vacuum and is important in many industrial applications. Nevertheless, accurate experimental ε values of polymers are often unavailable, and current prediction methods lack universality and suitability. Reported here is the development and testing of a new QSPR (quantitative structure property relationship) correlation of ε for polymers. The entire set of 57 polymers was divided into a training set of 45 polymers and a test set of 12 polymers according to Kennard and Stones algorithm. A nine‐descriptor model, with squared correlation coefficient ( R 2 ) of 0.9384 and standard error of estimation ( s ) of 0.0873, was produced by using the stepwise multilinear regression analysis (MLRA) on the training set. The reliability of the proposed model was further illustrated using various evaluation techniques: leave‐one‐out cross‐validation procedure, randomization tests, and validation through the test set. POLYM. ENG. SCI., 2011. ©2011 Society of Plastics Engineers.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom