Unified machine learning protocol for copolymer structure-property predictions

Structure-property relationships are extremely valuable when predicting the properties of polymers. This protocol demonstrates a step-by-step approach, based on multiple machine learning (ML) architectures, which is capable of processing copolymer types such as alternating, random, block, and gradie...

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Detalles Bibliográficos
Autores principales: Tao, Lei, Arbaugh, Tom, Byrnes, John, Varshney, Vikas, Li, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700038/
https://www.ncbi.nlm.nih.gov/pubmed/36595914
http://dx.doi.org/10.1016/j.xpro.2022.101875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700038/
https://www.ncbi.nlm.nih.gov/pubmed/36595914
http://dx.doi.org/10.1016/j.xpro.2022.101875

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