1. A fast transferable method for predicting the glass transition temperature of polymers from chemical structure
- Author
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Brierley-Croft, Sebastian, Olmsted, Peter D., Hine, Peter J., Mandle, Richard J., Chaplin, Adam, Grasmeder, John, and Mattsson, Johan
- Subjects
Condensed Matter - Soft Condensed Matter ,Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter - Materials Science ,Physics - Data Analysis, Statistics and Probability - Abstract
We present a new method that successfully predicts the glass transition temperature $T_{\! \textrm{g}}$ of polymers based on their monomer structure. The model combines ideas from Group Additive Properties (GAP) and Quantitative Structure Property Relationship (QSPR) methods, where GAP (or Group Contributions) assumes that sub-monomer motifs contribute additively to $T_{\! \textrm{g}}$, and QSPR links $T_{\! \textrm{g}}$ to the physico-chemical properties of the structure through a set of molecular descriptors. This method yields fast and accurate predictions of $T_{\! \textrm{g}}$ for polymers based on chemical motifs outside the data sample, which resolves the main limitation of the GAP approach. Using a genetic algorithm, we show that only two molecular descriptors are necessary to predict $T_{\! \textrm{g}}$ for PAEK polymers. Our QSPR-GAP method is readily transferred to other physical properties, to measures of activity (QSAR), or to different classes of polymers such as conjugated or bio-polymers., Comment: 12 pages, 4 figures, 1 table; Supplementary Information: 21 pages, 20 figures, 5 tables
- Published
- 2024