Molecular dynamics simulation study of graphene synthesis by rotating arc plasma

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
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Abstract

The rotating arc plasma method, based on its unique characteristics, provides a simple, efficient, and catalyst-free approach for graphene material synthesis. This study employs molecular dynamics simulations to theoretically investigate the detailed growth process of graphene at the atomic scale using plasma. During the growth process, different radicals serve as dissociation precursors within the plasma. Simulation results indicate that the growth process of graphene clusters involves three stages: extension of carbon clusters, cyclization of carbon chains, and coalescence of clusters into sheets. Firstly, the precursor concentration affects the size of graphene clusters; increasing the precursor concentration enlarges the cluster size but also increases the likelihood of curling. Secondly, increasing the hydrogen content in the precursor can reduce the growth rate of clusters, decrease dangling bonds at the periphery of clusters, thereby slowing down cluster closure and maintaining a well-defined sheet structure. Lastly, appropriately elevating the simulation temperature can enhance the reaction rate during the simulation process without altering the reaction pathway. These research findings establish the foundation for understanding the growth mechanism of graphene.

Abstract Image

旋转电弧等离子体合成石墨烯的分子动力学模拟研究
旋转电弧等离子体法基于其独特的特性,为石墨烯材料的合成提供了一种简单、高效、无催化剂的方法。本研究采用分子动力学模拟,从理论上研究了利用等离子体在原子尺度上生长石墨烯的详细过程。在生长过程中,不同的自由基在等离子体中作为解离前驱体。模拟结果表明,石墨烯团簇的生长过程包括三个阶段:碳团簇的延伸、碳链的环化和团簇凝聚成片。首先,前驱体浓度会影响石墨烯团簇的尺寸;增加前驱体浓度会扩大团簇尺寸,但也会增加卷曲的可能性。其次,增加前驱体中的氢含量可以降低石墨烯簇的生长速度,减少石墨烯簇外围的悬空键,从而减缓石墨烯簇的闭合速度,保持清晰的片状结构。最后,适当提高模拟温度可以在不改变反应路径的情况下提高模拟过程中的反应速率。这些研究成果为了解石墨烯的生长机理奠定了基础。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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