A novel approach toward the prediction of the glass transition temperature: Application of the EVM model, a designer QSPR equation for the prediction of acrylate and methacrylate polymers

被引:0
|
作者
Camelio, P [1 ]
Cypcar, CC [1 ]
Lazzeri, V [1 ]
Waegell, B [1 ]
机构
[1] FAC SCI & TECH ST JEROME, CNRS, URA 1409, LAB ACTIVAT SELECT CHIM ORGAN, F-13397 MARSEILLE 20, FRANCE
关键词
glass transition temperature; acrylate; methacrylate; prediction; energy density function; EVM model; QSPR;
D O I
暂无
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
We describe an original QSPR model called the EVM model (Energy, Volume, Mass) to calculate the glass transition temperature (T-g) of aliphatic acrylate and methacrylate homopolymers using classical molecular mechanics and dynamics. The latter was used to calculate an energy density function related to the cylindrical volume of a 20 monomer unit polymer segment (TSSV, Total Space around a Standard deviation Volume). We then calculated the T-g as a function of this density function and the repeat unit molecular weight, although no interchain interactions were taken into account. For linear and branched aliphatic acrylate and methacrylate polymers, the standard deviation from linear regression was 12 K, and the r(2) was 0.96. The model allows calculation of the T-g with an average absolute error of error of 10% for linear and branched derivatives not included in the original linear regression analysis. The results obtained with the EVM model are compared with those obtained with Bicerano's model. (C) 1997 John Wiley & Sons, Inc.
引用
收藏
页码:2579 / 2590
页数:12
相关论文
共 50 条
  • [1] Novel approach toward the prediction of the glass transition temperature: Application of the EVM model, a designer QSPR equation for the prediction of acrylate and methacrylate polymers
    URA CNRS, Marseille, France
    J Polym Sci Part A, 13 (2579-2590):
  • [2] Prediction of the glass transition temperature of multicyclic and bulky substituted acrylate and methacrylate polymers using the energy, volume, mass (EVM) QSPR model
    Cypcar, CC
    Camelio, P
    Lazzeri, V
    Mathias, LJ
    Waegell, B
    MACROMOLECULES, 1996, 29 (27) : 8954 - 8959
  • [3] Prediction of the glass transition temperature of multicyclic and bulky substituted acrylate and methacrylate polymers using the energy, volume, mass (EVM) QSPR model
    Cent Natl de la Recherche, Scientifique, Marseille, France
    Macromolecules, 27 (8954-8959):
  • [4] QSPR model for predicting the glass transition temperature of aliphatic substituted acrylate and methacrylate polymers
    Cypcar, CC
    Camelio, P
    Lazzeri, V
    Waegell, B
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1996, 212 : 178 - POLY
  • [5] Improving an EVM QSPR model for glass transition temperature prediction using optimal design
    Carro, AM
    Campisi, B
    Camelio, P
    Phan-Tan-Luu, R
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2002, 62 (01) : 79 - 88
  • [6] QSPR modelling for prediction of glass transition temperature of diverse polymers
    Khan, P. M.
    Roy, K.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2018, 29 (12) : 935 - 956
  • [7] An accurate model for the prediction of the glass transition temperature of ammonium based ionic liquids: A QSPR approach
    Mirkhani, Seyyed Alireza
    Gharagheizi, Farhad
    Ilani-Kashkouli, Poorandokht
    Farahani, Nasrin
    FLUID PHASE EQUILIBRIA, 2012, 324 : 50 - 63
  • [8] PREDICTION OF GLASS TRANSITION TEMPERATURE OF POLYMERS
    WEYLAND, HG
    HOFTYZER, PJ
    VANKREVE.DW
    POLYMER, 1970, 11 (02) : 79 - &
  • [9] A neural network approach to prediction of glass transition temperature of polymers
    Chen, Xi
    Sztandera, Les
    Cartwright, Hugh M.
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2008, 23 (01) : 22 - 32
  • [10] Toward the Prediction and Control of Glass Transition Temperature for Donor–Acceptor Polymers
    Zhang, Song
    Alesadi, Amirhadi
    Selivanova, Mariia
    Cao, Zhiqiang
    Qian, Zhiyuan
    Luo, Shaochuan
    Galuska, Luke
    Teh, Catherine
    Ocheje, Michael U.
    Mason, Gage T.
    St. Onge, P. Blake J.
    Zhou, Dongshan
    Rondeau-Gagné, Simon
    Xia, Wenjie
    Gu, Xiaodan
    Gu, Xiaodan (xiaodan.gu@usm.edu); Xia, Wenjie (wenjie.xia@ndsu.edu); Rondeau-Gagné, Simon (Simon.Rondeau-Gagne@uwindsor.ca), 1600, Wiley-VCH Verlag (30):