Literature DB >> 31117479

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

Tingyu Lei1,2,3, Wenping Guo1,2, Qingya Liu3, Haijun Jiao1,2, Dong-Bo Cao1,2, Botao Teng4, Yong-Wang Li1,2, Xingchen Liu1,2, Xiao-Dong Wen1,2.   

Abstract

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•), and vinylidene (H2C═C:) 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".

Entities:  

Year:  2019        PMID: 31117479     DOI: 10.1021/acs.jctc.9b00158

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  1 in total

1.  Computational Discovery of the Origins of Life.

Authors:  Jan Meisner; Xiaolei Zhu; Todd J Martínez
Journal:  ACS Cent Sci       Date:  2019-09-17       Impact factor: 14.553

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.