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...

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Detalles Bibliográficos
Autores principales: Chen, Guang, Tao, Lei, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

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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