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

Kyohei Noda; Yasuhiko Igarashi; Hiroaki Imai; Yuya Oaki

doi:10.1039/d1cc01440d

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

Kyohei Noda
, Yasuhiko Igarashi
, Hiroaki Imai
, Yuya Oaki

応用化学科

研究成果: Article › 査読

17 被引用数 (Scopus)

抄録

Yield-prediction models were studied for efficient exfoliation of soft layered materials stackedviavan 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.

本文言語	English
ページ（範囲）	5921-5924
ページ数	4
ジャーナル	Chemical Communications
巻	57
号	48
DOI	https://doi.org/10.1039/d1cc01440d
出版ステータス	Published - 2021 6月 18

ASJC Scopus subject areas

触媒
電子材料、光学材料、および磁性材料
セラミックおよび複合材料
化学一般
表面、皮膜および薄膜
金属および合金
材料化学

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10.1039/d1cc01440d

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abstract = "Yield-prediction models were studied for efficient exfoliation of soft layered materials stackedviavan 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.",

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AU - Noda, Kyohei

AU - Igarashi, Yasuhiko

AU - Imai, Hiroaki

AU - Oaki, Yuya

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Y1 - 2021/6/18

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

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ASJC Scopus subject areas

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