Comparison of Machine Learning Methods towards Developing Interpretable Polyamide Property Prediction

Polyamides are often used for their superior thermal, mechanical, and chemical properties. They form a diverse set of materials that have a large variation in properties between linear to aromatic compounds, which renders the traditional quantitative structure–property relationship (QSPR) challengin...

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Detalles Bibliográficos
Autores principales: Lee, Franklin Langlang, Park, Jaehong, Goyal, Sushmit, Qaroush, Yousef, Wang, Shihu, Yoon, Hong, Rammohan, Aravind, Shim, Youngseon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587315/
https://www.ncbi.nlm.nih.gov/pubmed/34771210
http://dx.doi.org/10.3390/polym13213653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587315/
https://www.ncbi.nlm.nih.gov/pubmed/34771210
http://dx.doi.org/10.3390/polym13213653

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