Mechanism of Graphene Formation via Detonation Synthesis: A DFTB Nanoreactor Approach

Mechanism of Graphene Formation via Detonation Synthesis: A DFTB Nanoreactor Approach
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通过爆炸合成形成石墨烯的机制:DFTB 纳米反应器方法

DOI:
10.1021/acs.jctc.9b00158
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发表时间:
2019-06-01
影响因子:
5.5
通讯作者:
Wen, Xiao-Dong
Wen, Xiao-Dong
中科院分区:
化学1区
文献类型:
--
作者:
Lei, Tingyu;Guo, Wenping;Wen, Xiao-Dong

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随着理论和计算化学以及高性能计算的发展,分子模拟现在不仅可以用作解释实验结果的工具,还可以用作发现或预测的手段。量子化学纳米反应器是这样一种方法,它可以自动探索化学过程的基础上的基本力学没有先验知识的反应。本文提出了一种结合半经验量子力学密度泛函紧束缚(DFTB)方法和纳米反应器分子动力学(NMD)方法的新方法,模拟了不同氧/乙炔摩尔比下爆轰合成石墨烯的反应过程.石墨烯的形成是通过乙炔(C2 H2)分子通过碰撞断裂成诸如H原子、乙炔基(HC C中心点)和亚乙烯基(H2 C =CO自由基)的碎片而引发的。随后形成长直碳链与一些分支碳链,然后变成由碳环组成的二维框架。微量氧可以在石墨烯形成过程中调节环的大小,并促进具有稠合六元环的规则石墨烯的形成,如我们所见,但高氧含量的添加使得更多的含C物种氧化成小氧化物分子而不是聚合。与从头算纳米反应器相比,DFTB纳米反应器的计算速度大大提高,这使得它成为模拟大尺寸和长时间尺度的化学过程并帮助我们发现“未知的未知”的有价值的选择。
With the development of theoretical and computational chemistry, as well as high-performance computing, molecular simulation can now be used not only as a tool to explain the experimental results but also as a means for discovery or prediction. Quantum chemical nanoreactor is such a method which can automatically explore the chemical process based only on the basic mechanics without prior knowledge of the reactions. Here, we present a new method which combines the semiempirical quantum mechanical density functional tight-binding (DFTB) method with the nanoreactor molecular dynamic (NMD) method, and we simulated the reaction process of graphene synthesis via detonation at different oxygen/acetylene mole ratios. The formation of graphene is initiated by the breaking of acetylene (C2H2) molecules by collision into pieces such as H atoms, ethynyl (HC C center dot), and vinylidene (H2C=CO radicals. It is followed by the formation of long straight carbon chains coupled with a few branched carbon chains, which then turned into a 2-D framework made of carbon rings. Trace oxygen could modulate the size of the rings during graphene formation and promote the formation of regular graphene with fused six-membered rings as we see, but the addition of high oxygen content makes more C-containing species oxidized to small oxide molecules instead of polymerization. The calculation speed of the DFTB nanoreactor is greatly improved compared to the ab initio nanoreactor, which makes it a valuable option to simulate chemical processes of large sizes and long time scales and to help us uncover the "unknown unknowns".