Classifying Crystals of Rounded Tetrahedra and Determining Their Order Parameters Using Dimensionality Reduction.
computer simulation.
dimensionality reduction
machine learning
nanoparticles
quasicrystal
self-assembly
tetrahedra
Journal
ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589
Informations de publication
Date de publication:
24 Nov 2020
24 Nov 2020
Historique:
pubmed:
27
10
2020
medline:
27
10
2020
entrez:
26
10
2020
Statut:
ppublish
Résumé
Using simulations we study the phase behavior of a family of hard spherotetrahedra, a shape that interpolates between tetrahedra and spheres. We identify 13 close-packed structures, some with packings that are significantly denser than previously reported. Twelve of these are crystals with unit cells of
Identifiants
pubmed: 33103878
doi: 10.1021/acsnano.0c05288
pmc: PMC7690044
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
15144-15153Références
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