High-temperature pyrolysis behavior and structural evolution mechanism of graphene oxide: A ReaxFF molecular dynamics simulation

雷亚克夫 石墨烯 分子动力学 氧化物 材料科学 热解 机制(生物学) 化学物理 纳米技术 计算化学 化学 有机化学 物理 量子力学 冶金 原子间势
作者
Yushan Bu,Feng Guo,Kejiang Li,Zeng Liang,Jianliang Zhang,Chunhe Jiang,Zhisheng Bi
出处
期刊:Applied Surface Science [Elsevier BV]
卷期号:593: 153451-153451 被引量:15
标识
DOI:10.1016/j.apsusc.2022.153451
摘要

• Microstructure evolution mechanism of graphene oxide deflagration phenomenon. • Functional group desorption process of GO pyrolysis at high temperature. • Hybridization statistics and graphitization degree analysis of C atoms in GO. • C-O bond length statistics and structural analysis in graphene oxide. • The release process and quantity statistics of gas molecular of GO pyrolysis. An in-depth understanding of the structural evolution of graphene oxide (GO) at high temperatures is of crucial importance for tuning the properties of GO and synthesizing graphene-related materials from GO, which still has many unknown structural changes at the atomic scale. In this work, the overall structural change process and the local structural evolution mechanism during the high-temperature pyrolysis of GO were investigated by the ReaxFF molecular dynamics simulation method. The detonation process of GO was explored for the first time at the atomic simulation level, and the detonation point of GO was found to be positively correlated with the C/O ratio, which is highly consistent with previous experimental results. The bonding pattern between C-O in GO was sorted out, and the desorption mechanism of functional groups during pyrolysis was explained in detail by analyzing the ratio of sp 2 and sp 3 hybridized C atoms. In addition, the effects of temperature, C/O ratio and functional group type on the small molecule pyrolysis products were also investigated. The present study provides strategies to tune GO structure by pyrolysis at high temperature.
最长约 10秒,即可获得该文献文件

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
萍苹平完成签到,获得积分10
刚刚
丘比特应助彤彤tong采纳,获得10
刚刚
fcyyc发布了新的文献求助10
刚刚
33发布了新的文献求助30
1秒前
1秒前
huzi完成签到,获得积分10
2秒前
3秒前
xiaofei应助林一采纳,获得10
3秒前
dynamoo完成签到,获得积分10
4秒前
爱听歌依波完成签到,获得积分10
4秒前
4秒前
胡茶茶完成签到 ,获得积分10
4秒前
4秒前
5秒前
光亮乘云完成签到,获得积分10
5秒前
无极微光应助撕佳采纳,获得20
6秒前
6秒前
qx发布了新的文献求助10
7秒前
黄丽怡发布了新的文献求助10
8秒前
8秒前
社会浩完成签到,获得积分10
8秒前
guozi发布了新的文献求助10
8秒前
FashionBoy应助太叔白易采纳,获得10
9秒前
吴雨完成签到 ,获得积分10
9秒前
10秒前
11秒前
macart发布了新的文献求助20
12秒前
huhuxiao完成签到,获得积分10
13秒前
唐盼烟发布了新的文献求助10
13秒前
风趣夜山发布了新的文献求助10
14秒前
认真的马里奥应助qx采纳,获得10
14秒前
PUHAHA应助qx采纳,获得10
14秒前
公茂源完成签到 ,获得积分10
14秒前
能干水蓝完成签到,获得积分10
15秒前
lll发布了新的文献求助10
15秒前
15秒前
滴滴答答发布了新的文献求助10
16秒前
17秒前
研友_LNBW5L完成签到,获得积分10
17秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 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 6363595
求助须知:如何正确求助?哪些是违规求助? 8177546
关于积分的说明 17233468
捐赠科研通 5418723
什么是DOI,文献DOI怎么找? 2867213
邀请新用户注册赠送积分活动 1844377
关于科研通互助平台的介绍 1691850