Supramolecular Semiconductivity through Emerging Ionic Gates in Ion-Nanoparticle Superlattices.
coarse-graining
colloidal superlattices
ion dynamics
ionic conductivity
machine learning
molecular dynamics
supramolecular semiconductivity
Journal
ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589
Informations de publication
Date de publication:
10 Jan 2023
10 Jan 2023
Historique:
pubmed:
23
12
2022
medline:
23
12
2022
entrez:
22
12
2022
Statut:
ppublish
Résumé
The self-assembly of nanoparticles driven by small molecules or ions may produce colloidal superlattices with features and properties reminiscent of those of metals or semiconductors. However, to what extent the properties of such supramolecular crystals actually resemble those of atomic materials often remains unclear. Here, we present coarse-grained molecular simulations explicitly demonstrating how a behavior evocative of that of semiconductors may emerge in a colloidal superlattice. As a case study, we focus on gold nanoparticles bearing positively charged groups that self-assemble into FCC crystals
Identifiants
pubmed: 36548051
doi: 10.1021/acsnano.2c07558
pmc: PMC9835987
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
275-287Références
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