Machine learning glass transition temperature of polymers

As an important thermophysical property, polymers' glass transition temperature, Tg, could sometimes be difficult to determine experimentally. Modeling methods, particularly data-driven approaches, are promising alternatives to predictions of Tg in a fast and robust way. The molecular traceless...

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Detalles Bibliográficos
Autores principales: Zhang, Yun, Xu, Xiaojie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553976/
https://www.ncbi.nlm.nih.gov/pubmed/33083589
http://dx.doi.org/10.1016/j.heliyon.2020.e05055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553976/
https://www.ncbi.nlm.nih.gov/pubmed/33083589
http://dx.doi.org/10.1016/j.heliyon.2020.e05055

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