The Adhesion and Diffusion of Saturate, Asphaltene, Resin and Aromatic (SARA) Molecules on Oxygenated and Hydrogenated Carbon Nanotubes (CNTs)

碳纳米管 分子 材料科学 扩散 粘附 化学工程 分子动力学 沥青质 纳米技术 化学 有机化学 复合材料 计算化学 热力学 物理 工程类
作者
Mehdi H. Shishehbor,Hadi S. Esmaeeli,M. Reza Pouranian
出处
期刊:Infrastructures [Multidisciplinary Digital Publishing Institute]
卷期号:6 (9): 123-123
标识
DOI:10.3390/infrastructures6090123
摘要

The interfacial adhesion between asphalt binder and carbon nanotubes (CNTs) depends on many nanoscopic properties such as diffusion of SARA molecules on CNTs surface. Functionalization of CNTs with Oxygens (O=CNTs), hydroxyl groups (HO–CNTs), and hydrogens (H–CNTs) has been an effective way to modify the surface properties of CNTs and ultimately the macroscopic properties of the CNT-composites. This paper presents the effect of different dosages of oxygenated and hydrogenated CNTs on the adhesion and diffusion of SARA molecules on CNTs’ surfaces. First, reactive molecular dynamics simulation is used to oxygenate and hydrogenate CNTs up to a certain dosage. Next, it is employed to model the interaction and diffusion of SARA molecules with the functionalized CNTs. We employ the steer molecular dynamic (SMD) and Einstein formula to calculate the adhesion and diffusion properties. The results demonstrate that hydrogenation has little effect on the adhesion energy, while oxygenation can increase adhesion energy up to 100% for 25% dosage. The diffusion coefficient dramatically drops for both oxygenated and hydrogenated CNTs, with lower values for the latter. We observe that for hydrogenated and oxygenated CNTs at different dosages, asphaltene, resin, aromatic, and saturate molecules have the highest to lowest values, respectively.

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
李亚雄完成签到,获得积分10
刚刚
frankyeah发布了新的文献求助10
刚刚
研友_ngkEgn完成签到,获得积分10
1秒前
勤奋书包发布了新的文献求助10
1秒前
科研通AI6.2应助钟贵泉采纳,获得10
1秒前
wushangyu发布了新的文献求助10
2秒前
taetae发布了新的文献求助10
2秒前
2秒前
Jasper应助meteor采纳,获得10
3秒前
bkagyin应助黄丁燕采纳,获得10
4秒前
可爱的函函应助官方v采纳,获得10
4秒前
漂泊2025完成签到,获得积分10
6秒前
mzhmhy完成签到,获得积分10
6秒前
lcy完成签到,获得积分10
7秒前
8秒前
CipherSage应助哈哈采纳,获得10
10秒前
喷火娃应助蒙眼过河采纳,获得10
10秒前
Doctor_Peng完成签到,获得积分0
10秒前
Rain发布了新的文献求助10
13秒前
14秒前
Liyh完成签到,获得积分10
14秒前
14秒前
踏实的烙完成签到,获得积分10
14秒前
15秒前
mfy0068完成签到,获得积分10
15秒前
liar完成签到,获得积分10
16秒前
16秒前
Owen应助东方采纳,获得10
16秒前
16秒前
磨人的老妖精完成签到,获得积分0
16秒前
科研通AI6.1应助cocopan采纳,获得10
17秒前
17秒前
杨41应助lb001采纳,获得10
18秒前
Aria发布了新的文献求助10
19秒前
哈哈完成签到,获得积分10
19秒前
隐形曼青应助zfsn采纳,获得10
19秒前
20秒前
21秒前
天天向上发布了新的文献求助10
21秒前
22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 6363545
求助须知:如何正确求助?哪些是违规求助? 8177474
关于积分的说明 17233032
捐赠科研通 5418654
什么是DOI,文献DOI怎么找? 2867182
邀请新用户注册赠送积分活动 1844328
关于科研通互助平台的介绍 1691850