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
  • [41] Large-Scale Glass-Transition Temperature Prediction with an Equivariant Neural Network for Screening Polymers
    Long, Zheng
    Lu, Hongmei
    Zhang, Zhimin
    ACS OMEGA, 2024, 9 (05): : 5452 - 5462
  • [42] Prediction of the glass transition temperature of (meth)acrylic polymers containing phenyl groups by recursive neural network
    Bertinetto, Carlo
    Duce, Celia
    Micheli, Alessio
    Solaro, Roberto
    Starita, Antonina
    Tine, Maria Rosaria
    POLYMER, 2007, 48 (24) : 7121 - 7129
  • [43] Glass Transition Temperature of Polymer Nanocomposites: Prediction from the Continuous-Multilayer Model
    Ahn, Sung Il
    Ohk, Chang Woo
    Kim, Jae Hyun
    Zin, Wang-Cheol
    JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS, 2009, 47 (22) : 2281 - 2287
  • [44] Glass transition prediction strategies based on the Couchman-Karasz equation in model confectionary systems
    Mayhew, Emily J.
    Neal, Cheyenne H.
    Lee, Soo-Yeun
    Schmidt, Shelly J.
    JOURNAL OF FOOD ENGINEERING, 2017, 214 : 287 - 302
  • [45] Prediction of glass transition temperature of polyacrylate using a quantitative structure property relationship model
    Tong, Jianbo
    Xu, Xiameng
    Liu, Shuling
    Che, Ting
    Li, Yunfei
    Hu, Zhe
    Meng, Yuanliang
    POLYMER SCIENCE SERIES A, 2013, 55 (08) : 487 - 492
  • [46] Prediction of glass transition temperature of polyacrylate using a quantitative structure property relationship model
    Jianbo Tong
    Xiameng Xu
    Shuling Liu
    Ting Che
    Yunfei Li
    Zhe Hu
    Yuanliang Meng
    Polymer Science Series A, 2013, 55 : 487 - 492
  • [47] APPLICATION OF A SIMON-TYPE EQUATION TO THE RELATIONSHIP BETWEEN GLASS-TRANSITION TEMPERATURE AND PRESSURE FOR POLYMERS
    TAKAMIZAWA, K
    TORATANI, H
    KARASZ, FE
    THERMOCHIMICA ACTA, 1994, 240 : 23 - 30
  • [48] Differential thermal lens temperature scanning approach to glass transition analysis in polymers: application to polycarbonate
    Rohling, JH
    Medina, AN
    Bento, AC
    Pereira, JRD
    Rubira, AF
    Baesso, ML
    Miranda, LCM
    JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2001, 34 (03) : 407 - 412
  • [49] A glass transition temperature approach for the prediction of the surface stickiness of a drying droplet during spray drying
    Adhikari, B
    Howes, T
    Lecomte, D
    Bhandari, BR
    POWDER TECHNOLOGY, 2005, 149 (2-3) : 168 - 179
  • [50] Different encoding alternatives for the prediction of halogenated polymers glass transition temperature by quantitative structure-property relationships
    Mercader, Andrew G.
    Bacelo, Daniel E.
    Duchowicz, Pablo R.
    INTERNATIONAL JOURNAL OF POLYMER ANALYSIS AND CHARACTERIZATION, 2017, 22 (07) : 639 - 648