已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Quantifying the effects of cooperative hydrogen bonds between vicinal diols on polymer dynamics

氢键 聚合物 邻接 分子间力 化学物理 材料科学 分子动力学 结晶学 化学 高分子化学 分子 计算化学 有机化学 复合材料
作者
Shintaro Nakagawa,Jun Xia,Naoko Yoshie
出处
期刊:Soft Matter [Royal Society of Chemistry]
卷期号:18 (6): 1275-1286 被引量:2
标识
DOI:10.1039/d1sm01747k
摘要

Transient cross-links such as hydrogen bonds (H-bonds) are a central concept for creating polymers with mechanical functionalities, including toughness and self-healing properties. While conventional strong H-bonding groups are based on rigid and planar molecular motifs with multidentate intermolecular interactions, we recently discovered that a structurally simple and flexible vicinal diol (VDO) could serve as a robust yet dynamic cross-link with multiple intermolecular H-bonds between hydroxy groups. In this work, we investigated the effects of cooperativity of H-bonds in VDOs on polymer dynamics. We synthesized model polybutadienes with either VDO or monool (MO) side groups by a radical-mediated thiol-ene click reaction. The oscillatory shear rheology data were analyzed by using the sticky Rouse model. The characteristic time of a single modified segment (δτ0) was significantly longer for the VDO-modified polymers than for the MO-modified polymers, even when they had the same number density of hydroxy groups. The increase in δτ0 with increasing degree of modification was much more drastic for the VDO-modified polymers than for the MO-modified polymers. Moreover, the characteristic time of an unmodified Rouse segment (τ0) was found to increase upon increasing the number of VDOs in the chain, while it was unchanged against the number of MOs. These observations highlight the cooperative effects of placing two hydroxy groups in a close vicinal arrangement. The multiplicity of H-bonds and the structural flexibility of VDOs led to efficient retardation of the chain dynamics.

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
刚刚
隐形曼青应助成功的院士采纳,获得10
1秒前
咕咕完成签到 ,获得积分10
2秒前
wy发布了新的文献求助10
2秒前
隐形曼青应助砚木采纳,获得10
3秒前
3秒前
3秒前
廖昭君完成签到 ,获得积分10
5秒前
7秒前
科研通AI6.4应助丁浩伦采纳,获得10
8秒前
充电宝应助HH采纳,获得10
9秒前
9秒前
10秒前
10秒前
科研通AI6.2应助丁浩伦采纳,获得10
11秒前
baozi完成签到,获得积分10
12秒前
郭盾给郭盾的求助进行了留言
12秒前
周周南发布了新的文献求助10
12秒前
阴雨完成签到 ,获得积分10
13秒前
14秒前
14秒前
科目三应助丁浩伦采纳,获得10
14秒前
14秒前
Lucas应助细雨清心采纳,获得10
15秒前
16秒前
强强强强去完成签到,获得积分10
16秒前
赘婿应助丁浩伦采纳,获得10
17秒前
19秒前
舒心安柏完成签到 ,获得积分10
20秒前
情怀应助临江仙采纳,获得10
20秒前
大地姑娘发布了新的文献求助10
20秒前
砚木发布了新的文献求助10
20秒前
小陈发布了新的文献求助10
21秒前
22秒前
科研通AI6.4应助丁浩伦采纳,获得10
24秒前
No1完成签到 ,获得积分10
24秒前
25秒前
Akim应助丁浩伦采纳,获得10
28秒前
28秒前
刘白完成签到 ,获得积分10
29秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7578021
求助须知:如何正确求助?哪些是违规求助? 9157663
关于积分的说明 19591991
捐赠科研通 7161674
什么是DOI,文献DOI怎么找? 3265456
关于科研通互助平台的介绍 2430381
邀请新用户注册赠送积分活动 2256184