Modeling and Predicting the Glass Transition Temperature of Polymethacrylates Based on Quantum Chemical Descriptors by Using Hybrid PSO‐SVR
- 13 December 2012
- journal article
- research article
- Published by Wiley in Macromolecular Theory and Simulations
- Vol. 22 (1), 52-60
- https://doi.org/10.1002/mats.201200072
Abstract
No abstract availableKeywords
This publication has 29 references indexed in Scilit:
- Predicting Glass Transition Temperatures of Polyarylethersulphones Using QSPR MethodsPLOS ONE, 2012
- Prediction of glass transition temperatures of polyquinolines and polyquinoxalinesPolymer Science Series A, 2012
- A Long Period Grating for Simultaneous Measurement of Temperature and Strain Based on Support Vector RegressionJournal of Intelligent Material Systems and Structures, 2010
- Corrosion rate prediction of 3C steel under different seawater environment by using support vector regressionCorrosion Science, 2009
- Enzyme family classification by support vector machinesProteins, 2004
- Support vector regression as a signal discriminator in high energy physicsNeurocomputing, 2003
- 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 polymersJournal of Polymer Science Part A: Polymer Chemistry, 1997
- Comparison of dynamic mechanical measurements and Tg determinations with two different instrumentsPolymer Testing, 1994
- Comparison of thermal techniques for glass transition measurements of polystyrene and cross‐linked acrylic polyurethane filmsJournal of Applied Polymer Science, 1994
- Glass temperatures of some acrylic polymersJournal of Polymer Science Part A: General Papers, 1965