Molecular Characterization of Polymer Networks

表征(材料科学) 聚合物 过程(计算) 关系(数据库) 化学 纳米技术 计算机科学 材料科学 数据挖掘 操作系统 有机化学
作者
Scott P. O. Danielsen,Haley K. Beech,Shu Wang,Bassil M. El-Zaatari,Xiaodi Wang,Liel Sapir,Tetsu Ouchi,Zi Wang,Patricia N. Johnson,Yixin Hu,David Lundberg,Georgi Stoychev,Stephen L. Craig,Jeremiah A. Johnson,Julia A. Kalow,Bradley D. Olsen,Michael Rubinstein
出处
期刊:Chemical Reviews [American Chemical Society]
卷期号:121 (8): 5042-5092 被引量:290
标识
DOI:10.1021/acs.chemrev.0c01304
摘要

Polymer networks are complex systems consisting of molecular components. Whereas the properties of the individual components are typically well understood by most chemists, translating that chemical insight into polymer networks themselves is limited by the statistical and poorly defined nature of network structures. As a result, it is challenging, if not currently impossible, to extrapolate from the molecular behavior of components to the full range of performance and properties of the entire polymer network. Polymer networks therefore present an unrealized, important, and interdisciplinary opportunity to exert molecular-level, chemical control on material macroscopic properties. A barrier to sophisticated molecular approaches to polymer networks is that the techniques for characterizing the molecular structure of networks are often unfamiliar to many scientists. Here, we present a critical overview of the current characterization techniques available to understand the relation between the molecular properties and the resulting performance and behavior of polymer networks, in the absence of added fillers. We highlight the methods available to characterize the chemistry and molecular-level properties of individual polymer strands and junctions, the gelation process by which strands form networks, the structure of the resulting network, and the dynamics and mechanics of the final material. The purpose is not to serve as a detailed manual for conducting these measurements but rather to unify the underlying principles, point out remaining challenges, and provide a concise overview by which chemists can plan characterization strategies that suit their research objectives. Because polymer networks cannot often be sufficiently characterized with a single method, strategic combinations of multiple techniques are typically required for their molecular characterization.
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
1秒前
Shawn发布了新的文献求助10
1秒前
Onlyxxl完成签到,获得积分10
1秒前
1秒前
昏睡的静丹完成签到,获得积分10
1秒前
Sara_123发布了新的文献求助20
1秒前
GEGE发布了新的文献求助10
2秒前
2秒前
迎风追自由的稻草人完成签到,获得积分10
2秒前
倾情清发布了新的文献求助10
2秒前
小汤圆发布了新的文献求助10
3秒前
hyx完成签到,获得积分10
3秒前
撒西不理完成签到,获得积分10
3秒前
wwx完成签到,获得积分10
3秒前
温柔画笔完成签到,获得积分10
4秒前
星辰大海应助英吉利25采纳,获得30
4秒前
张大帅发布了新的文献求助30
4秒前
Dfish完成签到,获得积分10
4秒前
cs发布了新的文献求助10
5秒前
5秒前
AAAAA完成签到,获得积分0
5秒前
健壮的秋寒完成签到,获得积分10
5秒前
带象发布了新的文献求助10
5秒前
阿北完成签到,获得积分10
6秒前
无语的千秋完成签到,获得积分10
6秒前
6秒前
tigerlord完成签到,获得积分10
6秒前
奋斗的小甜瓜完成签到,获得积分10
6秒前
djf103完成签到 ,获得积分10
7秒前
7秒前
蒲公英完成签到,获得积分10
8秒前
今后应助吴旭东采纳,获得10
8秒前
熊二浪完成签到,获得积分10
8秒前
8秒前
瑶瑶酱完成签到,获得积分10
8秒前
Zhang影完成签到,获得积分10
8秒前
8秒前
山缓缓完成签到 ,获得积分10
9秒前
甜甜乌冬面完成签到,获得积分10
9秒前
想想完成签到,获得积分10
9秒前
高分求助中
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Writing Systems 500
类器官构建与应用:从基础到前沿 500
Electric Vehicle Powertrains Design Fundamentals, Components, and Applications 400
Handbook on Planning and Climate Change Adaptation 400
Optical Coating Design with the Essential Macleod 400
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 6807856
求助须知:如何正确求助?哪些是违规求助? 8524691
关于积分的说明 18145863
捐赠科研通 6131888
什么是DOI,文献DOI怎么找? 3028626
邀请新用户注册赠送积分活动 2005161
关于科研通互助平台的介绍 2002276