Scalable Fabrication of Smart Polymer Surfaces Using Nanoimprint Lithography

使用纳米压印光刻技术可扩展地制造智能聚合物表面

基本信息

批准号：
1233626
负责人：
Yifu Ding
金额：
$ 27.91万
依托单位：
University of Colorado at Boulder
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-15 至 2017-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1233626&HistoricalAwards=false
关键词：
Scalable Fabrication Smart Polymer Surfaces

项目摘要

This grant supports research on a novel fabrication methodology for creating smart polymer surfaces and nanostructures that are capable of changing shapes at nanoscale. The proposed methodology combines the nanofabrication capability of nanoimprint lithography (NIL) with the stimuli-responsive 'shape memory' effect of network polymers. An experimental platform will be developed to precisely determine the geometry and the energy associated with the nanoscale shape change, which, in turn, will enable systematic examinations of how the NIL parameters such as temperature, pressure and processing time influence the nanoscale shape memory effect. A range of bulk shape memory polymers with systematically-varying chemical and physical properties will be studied for their applicability as the proposed new class of smart surfaces and nanostructures. In addition, unique applications enabled by this new fabrication methodology in areas of optics and biomaterials will be explored. If successful, the results of the research will advance our current understanding of nanoscale shape memory effect of polymers, and shed light on the entropic (or rubber) elasticity of polymers at length scale approaching the network structures. The research will also provide a new methodology for fabricating smart polymer surfaces and nanostructures at low cost and without the need for complex chemistry, and establish the structure-processing-property relationships needed for using this methodology for scalable manufacturing. This research will also enhance the professional development of graduate students, promote diversity in science and engineering disciplines, and enrich K-12 outreach, with a focus on emerging polymer-based nanofabrication technologies.

该赠款支持对一种新型制造方法的研究，以创建能够在纳米级改变形状的智能聚合物表面和纳米结构。所提出的方法结合了纳米印刷印刷术（NIL）的纳米化功能与网络聚合物的刺激反应“形状记忆”效应。将开发一个实验平台，以精确确定与纳米级形状变化相关的几何形状和能量，这反过来又可以系统地检查零参数（例如温度，压力和加工时间）如何影响纳米级记忆效应。将研究具有系统变化的化学和物理特性的一系列散装形状记忆聚合物，以作为拟议的新型智能表面和纳米结构的适用性。此外，将探索这种新制造方法在光学和生物材料领域中启用的独特应用程序。如果成功，研究的结果将提高我们对聚合物的纳米级形状记忆效应的当前理解，并阐明聚合物在接近网络结构的长度上的熵（或橡胶）弹性。这项研究还将提供一种新的方法，用于以低成本制造智能聚合物表面和纳米结构，而无需复杂的化学反应，并建立了使用此方法进行可扩展制造的结构处理过程。这项研究还将增强研究生的专业发展，促进科学和工程学科的多样性，并丰富K-12外展，重点是基于新兴的聚合物纳米制作技术。