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Predicting Polymers’ Glass Transition Temperature by a Chemical Language Processing Model
We propose a chemical language processing model to predict polymers’ glass transition temperature ([Formula: see text]) through a polymer language (SMILES, Simplified Molecular Input Line Entry System) embedding and recurrent neural network. This model only receives the SMILES strings of a polymer’s...
Autores principales: | Chen, Guang, Tao, Lei, Li, Ying |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201381/ https://www.ncbi.nlm.nih.gov/pubmed/34200505 http://dx.doi.org/10.3390/polym13111898 |
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