基于CVD共聚的小尺度表面组成梯度的设计策略

Yaseen Elkasabi, Aftin M. Ross, Jonathan Oh, Michael P. Hoepfner, H. Scott Fogler, Joerg Lahann, Paul H. Krebsbach
{"title":"基于CVD共聚的小尺度表面组成梯度的设计策略","authors":"Yaseen Elkasabi,&nbsp;Aftin M. Ross,&nbsp;Jonathan Oh,&nbsp;Michael P. Hoepfner,&nbsp;H. Scott Fogler,&nbsp;Joerg Lahann,&nbsp;Paul H. Krebsbach","doi":"10.1002/cvde.201307057","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <p>A new method for generating and modeling reduced-scale copolymer gradients by CVD is reported. By exploiting diffusion through confined channels, functionalized [2.2]paracyclophanes are copolymerized into their poly(<i>p</i>-xylylene) (PPX) analogues as a composition gradient. Fourier transform infrared (FTIR) and X-ray photoelectron spectroscopy (XPS) are used to verify the gradient composition profiles. Gradients are deposited on both flat substrates and 3-dimensional cylinders. Both the thickness and compositional profiles are fitted to a diffusion-based model using realistic physical parameters. The derived equation can be generalized and optimized for any copolymerization gradient through a confined geometry, thus allowing for broad applicability to other copolymer systems.</p>\n </section>\n </div>","PeriodicalId":10093,"journal":{"name":"Chemical Vapor Deposition","volume":"20 1-2-3","pages":"23-31"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cvde.201307057","citationCount":"2","resultStr":"{\"title\":\"Design Strategies for Reduced-scale Surface Composition Gradients via CVD Copolymerization†\",\"authors\":\"Yaseen Elkasabi,&nbsp;Aftin M. Ross,&nbsp;Jonathan Oh,&nbsp;Michael P. Hoepfner,&nbsp;H. Scott Fogler,&nbsp;Joerg Lahann,&nbsp;Paul H. Krebsbach\",\"doi\":\"10.1002/cvde.201307057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <section>\\n \\n <p>A new method for generating and modeling reduced-scale copolymer gradients by CVD is reported. By exploiting diffusion through confined channels, functionalized [2.2]paracyclophanes are copolymerized into their poly(<i>p</i>-xylylene) (PPX) analogues as a composition gradient. Fourier transform infrared (FTIR) and X-ray photoelectron spectroscopy (XPS) are used to verify the gradient composition profiles. Gradients are deposited on both flat substrates and 3-dimensional cylinders. Both the thickness and compositional profiles are fitted to a diffusion-based model using realistic physical parameters. The derived equation can be generalized and optimized for any copolymerization gradient through a confined geometry, thus allowing for broad applicability to other copolymer systems.</p>\\n </section>\\n </div>\",\"PeriodicalId\":10093,\"journal\":{\"name\":\"Chemical Vapor Deposition\",\"volume\":\"20 1-2-3\",\"pages\":\"23-31\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/cvde.201307057\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemical Vapor Deposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cvde.201307057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Vapor Deposition","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cvde.201307057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文报道了一种用CVD法生成和建模小尺度共聚物梯度的新方法。通过利用在受限通道中的扩散,功能化的[2.2]副环环烷作为组成梯度被共聚成它们的聚(对二甲苯)(PPX)类似物。利用傅里叶变换红外(FTIR)和x射线光电子能谱(XPS)对梯度组成谱进行了验证。梯度沉积在平面基底和三维圆柱体上。厚度和成分剖面都采用真实的物理参数拟合到基于扩散的模型中。推导出的方程可以通过有限的几何结构推广和优化到任何共聚梯度,从而广泛适用于其他共聚体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design Strategies for Reduced-scale Surface Composition Gradients via CVD Copolymerization†

A new method for generating and modeling reduced-scale copolymer gradients by CVD is reported. By exploiting diffusion through confined channels, functionalized [2.2]paracyclophanes are copolymerized into their poly(p-xylylene) (PPX) analogues as a composition gradient. Fourier transform infrared (FTIR) and X-ray photoelectron spectroscopy (XPS) are used to verify the gradient composition profiles. Gradients are deposited on both flat substrates and 3-dimensional cylinders. Both the thickness and compositional profiles are fitted to a diffusion-based model using realistic physical parameters. The derived equation can be generalized and optimized for any copolymerization gradient through a confined geometry, thus allowing for broad applicability to other copolymer systems.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Chemical Vapor Deposition
Chemical Vapor Deposition 工程技术-材料科学:膜
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Chemical Vapor Deposition (CVD) publishes Reviews, Short Communications, and Full Papers on all aspects of chemical vapor deposition and related technologies, along with other articles presenting opinion, news, conference information, and book reviews. All papers are peer-reviewed. The journal provides a unified forum for chemists, physicists, and engineers whose publications on chemical vapor deposition have in the past been spread over journals covering inorganic chemistry, materials chemistry, organometallics, applied physics and semiconductor technology, thin films, and ceramic processing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信