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Machine learning discovery of high-temperature polymers

To formulate a machine learning (ML) model to establish the polymer's structure-property correlation for glass transition temperature [Formula: see text] , we collect a diverse set of nearly 13,000 real homopolymers from the largest polymer database, PoLyInfo. We train the deep neural network (...

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Detalles Bibliográficos
Autores principales: Tao, Lei, Chen, Guang, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085602/
https://www.ncbi.nlm.nih.gov/pubmed/33982020
http://dx.doi.org/10.1016/j.patter.2021.100225