Unraveling the morphological complexity of two-dimensional macromolecules

2D macromolecules, such as graphene and graphene oxide, possess a rich spectrum of conformational phases. However, their morphological classification has only been discussed by visual inspection, where the physics of deformation and surface contact cannot be resolved. We employ machine learning meth...

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Detalles Bibliográficos
Autores principales: Zhao, Yingjie, Qin, Jianshu, Wang, Shijun, Xu, Zhiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214330/
https://www.ncbi.nlm.nih.gov/pubmed/35755877
http://dx.doi.org/10.1016/j.patter.2022.100497

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214330/
https://www.ncbi.nlm.nih.gov/pubmed/35755877
http://dx.doi.org/10.1016/j.patter.2022.100497

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