Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
|
| Materias: | |
| 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 |