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

纳米反应器 石墨烯 乙炔 起爆 分子 分子动力学 碳纤维 化学物理 氧化物 材料科学 聚合 化学 纳米技术 计算化学 有机化学 纳米颗粒 复合材料 爆炸物 聚合物 复合数
作者
Tingyu Lei,Wenping Guo,Qingya Liu,Haijun Jiao,Dong‐Bo Cao,Botao Teng,Yongwang Li,Xingchen Liu,Xiaodong Wen
出处
期刊:Journal of Chemical Theory and Computation [American Chemical Society]
卷期号:15 (6): 3654-3665 被引量:34
标识
DOI:10.1021/acs.jctc.9b00158
摘要

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".

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
炒米粉完成签到,获得积分10
1秒前
1秒前
西红柿首负王多鱼完成签到 ,获得积分10
1秒前
1秒前
斯文败类应助科研通管家采纳,获得10
2秒前
隐形曼青应助科研通管家采纳,获得50
2秒前
2秒前
CipherSage应助科研通管家采纳,获得10
2秒前
所所应助科研通管家采纳,获得10
2秒前
领导范儿应助ns采纳,获得10
2秒前
2秒前
星辰大海应助科研通管家采纳,获得30
2秒前
3秒前
明亮的念梦完成签到 ,获得积分10
4秒前
6秒前
CodeCraft应助yinch采纳,获得10
6秒前
天天快乐应助迷路中恶111采纳,获得10
8秒前
Faye发布了新的文献求助10
9秒前
Spine脊柱发布了新的文献求助10
10秒前
10秒前
叮当完成签到,获得积分10
11秒前
hmz发布了新的文献求助10
11秒前
少年发布了新的文献求助10
11秒前
干净的孤丝完成签到 ,获得积分10
12秒前
zjs222完成签到,获得积分10
13秒前
懵懂的蜜蜂完成签到,获得积分10
14秒前
15秒前
大鹏展翅八十米完成签到,获得积分10
15秒前
16秒前
彭于晏应助飞鸿影下采纳,获得10
16秒前
17秒前
xqf123完成签到,获得积分10
19秒前
杜晓倩发布了新的文献求助10
20秒前
任性灵槐发布了新的文献求助10
22秒前
22秒前
zhao发布了新的文献求助10
23秒前
星辰大海应助富贵采纳,获得10
24秒前
blooming boy发布了新的文献求助10
25秒前
27秒前
思源应助waytohill采纳,获得10
27秒前
高分求助中
Signals, Systems, and Signal Processing 610
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Cardiopulmonary Bypass and Mechanical Support: Principles and Practice, Fifth Edition 400
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
Burger's Medicinal Chemistry and Drug Discovery 400
Probability and Stochastic Processes 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6750609
求助须知:如何正确求助?哪些是违规求助? 8479836
关于积分的说明 18083730
捐赠科研通 6026697
什么是DOI,文献DOI怎么找? 3006545
邀请新用户注册赠送积分活动 1983459
关于科研通互助平台的介绍 1951998