Yield-prediction models for efficient exfoliation of soft layered materials into nanosheets

Yield-prediction models were studied for efficient exfoliation of soft layered materials stacked via van der Waals interactions with the assistance of machine learning on small experimental data. High-yield exfoliation of graphite and layered organic polymer was achieved under the conditions guided...

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Bibliographic Details
Published inChemical communications (Cambridge, England) Vol. 57; no. 48; pp. 5921 - 5924
Main Authors Noda, Kyohei, Igarashi, Yasuhiko, Imai, Hiroaki, Oaki, Yuya
Format Journal Article
LanguageEnglish
Published England Royal Society of Chemistry 15.06.2021
Subjects
Exfoliation
Layered materials
Machine learning
Nanosheets
Prediction models
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Summary:Yield-prediction models were studied for efficient exfoliation of soft layered materials stacked via van der Waals interactions with the assistance of machine learning on small experimental data. High-yield exfoliation of graphite and layered organic polymer was achieved under the conditions guided by the models in a limited number of experiments. A straightforward yield-prediction model constructed with the assistance of machine learning guides the appropriate solvents for efficient exfoliation of layered materials in high yield.
Bibliography:10.1039/d1cc01440d
Electronic supplementary information (ESI) available: Experimental methods, datasets, additional microscopy images. See DOI
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1359-7345
1364-548X
DOI:10.1039/d1cc01440d