Analysis on Microstructure–Property Linkages of Filled Rubber Using Machine Learning and Molecular Dynamics Simulations

A better understanding of the microstructure–property relationship can be achieved by sampling and analyzing a microstructure leading to a desired material property. During the simulation of filled rubber, this approach includes extracting common aggregates from a complex filler morphology consistin...

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Detalles Bibliográficos
Autores principales: Kojima, Takashi, Washio, Takashi, Hara, Satoshi, Koishi, Masataka, Amino, Naoya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401526/
https://www.ncbi.nlm.nih.gov/pubmed/34451223
http://dx.doi.org/10.3390/polym13162683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401526/
https://www.ncbi.nlm.nih.gov/pubmed/34451223
http://dx.doi.org/10.3390/polym13162683

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