Simulation strategies for ReaxFF molecular dynamics in coal pyrolysis applications: A review

雷亚克夫 热解 分子动力学 化学 计算机科学 生化工程 工艺工程 计算化学 工程类 有机化学 原子间势
作者
Shuaihong Liu,Lihong Wei,Qian Zhou,Tianhua Yang,Shaobai Li,Quan Zhou
出处
期刊:Journal of Analytical and Applied Pyrolysis [Elsevier BV]
卷期号:170: 105882-105882 被引量:75
标识
DOI:10.1016/j.jaap.2023.105882
摘要

Research on pyrolysis mechanisms has attracted significant attention as they can efficiently assist in coal resource utilization. Although experimental techniques have significant advantages in terms of quantitative assays, exploring the detailed chemical mechanisms and complex reaction pathways of pyrolysis requires computational methods. Therefore, the emergence of ReaxFF molecular dynamics (ReaxFF MD), which can characterize the kinetics of microscopic reactions at the atomic scale, facilitates in-depth investigation of the reaction mechanism of coal pyrolysis, making it a significant research focus. Hence, in this review, we provide comprehensive simulation strategies for ReaxFF MD in coal pyrolysis applications. First, methods for determining the structural characteristics of coal are summarized. We focus on research advances in coal models and propose current model construction strategies, such as modeling, optimization, and validation. Second, the application scope and limitations of various model scales for pyrolysis simulation research are discussed, providing new insights into the effective construction and pioneering development of coal models. Subsequently, we present start-up details for ReaxFF MD simulations and summarize the types of force fields used for coal pyrolysis simulations together with the specifications for their development. Moreover, we focus on simulation strategies for ReaxFF MD in coal pyrolysis applications, including the effects of temperature, heating rate, and simulation time. Third, we mention future development trends and research directions according to the latest progress in coal pyrolysis applications using ReaxFF MD. Finally, the review concludes with a brief discussion of future perspectives.
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
bkagyin应助LIJINGGE采纳,获得10
1秒前
无花果应助LIJINGGE采纳,获得10
1秒前
慕青应助LIJINGGE采纳,获得10
1秒前
所所应助LIJINGGE采纳,获得10
1秒前
Jayran完成签到 ,获得积分10
1秒前
无花果应助动人的老黑采纳,获得10
4秒前
6秒前
pluto应助LIJINGGE采纳,获得10
7秒前
慕青应助LIJINGGE采纳,获得10
7秒前
CipherSage应助LIJINGGE采纳,获得10
7秒前
酷波er应助LIJINGGE采纳,获得10
7秒前
FashionBoy应助LIJINGGE采纳,获得10
7秒前
搜集达人应助LIJINGGE采纳,获得10
7秒前
Ava应助LIJINGGE采纳,获得10
7秒前
桐桐应助LIJINGGE采纳,获得10
7秒前
共享精神应助LIJINGGE采纳,获得10
7秒前
CodeCraft应助LIJINGGE采纳,获得10
7秒前
ygr完成签到,获得积分0
9秒前
10秒前
李爱国应助study采纳,获得10
10秒前
14秒前
沙珠完成签到,获得积分10
15秒前
15秒前
可爱的函函应助甜美无剑采纳,获得10
16秒前
八点必起完成签到,获得积分10
17秒前
标致大开完成签到 ,获得积分10
18秒前
24秒前
28秒前
jianning发布了新的文献求助10
31秒前
31秒前
Suica发布了新的文献求助10
31秒前
开心完成签到 ,获得积分10
31秒前
31秒前
33秒前
蔺山河发布了新的文献求助10
33秒前
翠翠发布了新的文献求助10
34秒前
37秒前
37秒前
sibo发布了新的文献求助10
37秒前
KIE发布了新的文献求助30
37秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778761
求助须知:如何正确求助?哪些是违规求助? 3324341
关于积分的说明 10217907
捐赠科研通 3039436
什么是DOI,文献DOI怎么找? 1668081
邀请新用户注册赠送积分活动 798544
科研通“疑难数据库(出版商)”最低求助积分说明 758415