4.8 Article

Automated processing of environmental transmission electron microscopy images for quantification of thin film dewetting and carbon nanotube nucleation dynamics

期刊

CARBON
卷 192, 期 -, 页码 249-258

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2022.02.019

关键词

Carbon nanotubes; ETEM; Machine learning; Dewetting; Image processing

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This study utilizes high-resolution, high-rate video capture of ETEM experimentation and automated image processing to quantitatively analyze particle formation and nucleation efficiency in CNT synthesis. The results show that pretreating the catalyst with carbon in a hydrogen atmosphere significantly improves particle density, CNT nucleation efficiency, and CNT density. Adding carbon during exposure to hydrogen is more effective than NH3 in increasing CNT nucleation efficiency, despite NH3 being a stronger reducing agent for iron. The insights from this study are important for improving CNT yield and productivity.
Scalable production of carbon nanotubes (CNTs) requires catalysts and reaction conditions that provide high nucleation efficiency. In situ characterization methods such as environmental transmission electron microscopy (ETEM) can reveal fundamental mechanisms of synthesis, but to date have primarily provided qualitative observations on small sample sizes. Here, quantitative analysis is performed using highresolution, high-rate video capture of ETEM experimentation coupled with automated image processing, involving computer vision algorithms and convolutional neural networks. By this approach, we detect distinct nanoparticle formation from an alumina-supported iron thin film and subsequent CNT nucleation from the nanoparticles. The statistical summary of particles in each video shows that, compared to a H-2-only atmosphere, pretreatment of the catalyst with carbon added to the H-2 atmosphere results in a smaller average particle diameter, a 2-fold increase in particle density (to 5300 particles/mu m(2)), a 3-fold increase in CNT nucleation efficiency (to 92%), and more than a 5-fold increase in CNT density (to 4800/mu m(2)). Addition of carbon during exposure to H-2 is also more effective than NH3 at dewetting the catalyst film and increasing the CNT nucleation efficiency, in spite of NH3 being a stronger reducing agent for iron. Insights from this study are applicable to improving CNT yield and productivity in both batch-style and continuous processes. (C) 2022 Elsevier Ltd. All rights reserved.

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