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2D Materials: Fractal‐Theory‐Based Control of the Shape and Quality of CVD‐Grown 2D Materials (Adv. Mater. 35/2019)
Author(s) -
Li Junzhu,
Chen Mingguang,
Zhang Chenhui,
Dong Haocong,
Lin Weiyi,
Zhuang Pingping,
Wen Yan,
Tian Bo,
Cai Weiwei,
Zhang Xixiang
Publication year - 2019
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201970246
Subject(s) - materials science , chemical vapor deposition , fractal , diffusion limited aggregation , diffusion , nanotechnology , process (computing) , domain (mathematical analysis) , deposition (geology) , composite material , chemical engineering , fractal dimension , chemical physics , biological system , thermodynamics , computer science , mathematical analysis , mathematics , paleontology , physics , engineering , sediment , biology , operating system
In article number 1902431, Bo Tian, Weiwei Cai, Xixiang Zhang, and co‐workers reveal the existence of a fractal‐growth‐based mechanism in 2D‐material chemical vapor deposition (CVD) syntheses. Based on a 2D diffusion‐limited aggregation model, perfect correlations between theoretically simulated data and CVD experimental results are obtained. Eventually, the precise control of 2D‐material shapes and qualities is achieved by adjusting single‐domain net growth rates in the CVD‐growth process.

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