Selective syntheses of thick and thin nanosheets based on correlation between thickness and lateral-size distribution.
Materials science
Materials synthesis
Nanomaterials
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
16 Sep 2022
16 Sep 2022
Historique:
received:
27
05
2022
revised:
28
07
2022
accepted:
09
08
2022
entrez:
13
9
2022
pubmed:
14
9
2022
medline:
14
9
2022
Statut:
epublish
Résumé
Exfoliation of layered materials, a typical route to obtain 2D materials, is not easily controlled because of the unpredictable downsizing processes. In particular, the thickness control remains as a complex challenge. Here, we found a correlation between the thickness and lateral size distribution of the exfoliated nanosheets, such as transition metal oxides and graphene oxide. The layered composites of the host metal oxides and interlayer organic guests are delaminated into the surface-modified nanosheets in organic dispersion media. The exfoliation behavior varies by combination of the hosts, guests, and dispersion media. Here, we found that the thick and thin nanosheets were obtained on the monodispersed and polydispersed conditions, respectively. The selective syntheses of the thick and thin nanosheets were achieved using a prediction model of the lateral size distribution. The correlation between the thickness and lateral size distribution can be applied to thickness-selective syntheses of 2D materials.
Identifiants
pubmed: 36097614
doi: 10.1016/j.isci.2022.104933
pii: S2589-0042(22)01205-6
pmc: PMC9463570
doi:
Types de publication
Journal Article
Langues
eng
Pagination
104933Informations de copyright
© 2022 The Author(s).
Déclaration de conflit d'intérêts
The authors declare no competing financial or non-financial interests.
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