NIRT: Chemically Tunable Nanoelectronic and Nanoelectromechanical Systems

NIRT：化学可调谐纳米电子和纳米机电系统

• 批准号: 0506660
• 负责人: Moonsub Shim
• 金额: --
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0506660&HistoricalAwards=false
• 关键词: NIRT; Chemically; Tunable; Nanoelectronic; Nanoelectromechanical

NIRT: Chemically Tunable Nanoelectronic and Nanoelectromechanical SystemsAbstractThe interdisciplinary research program aims to establish a fundamental understanding of interfacial/surface effects on the electronic and mechanical properties of nanoscale materials incorporated into devices. Surface chemistry to control the highly environment-sensitive responses of nanoscale materials, specifically single-walled carbon nanotubes will be developed, and synergistic computational and experimental studies of nanoscale surfaces and interfaces will be conducted. It is anticipated that this will lead to simple but effective chemical means to tune the electronic characteristics of carbon nanotube transistors and resonators Furthermore, these chemically tunable nanotubes will provide versatile building blocks suitable for developing engineering concepts and designs for novel nanoelectronic and electromechanical architectures. The success of this NIRT project will provide diverse resources for research and education in multiple fields of science and engineering as well as new materials and devices from which integrated electronics and sensor technologies with unprecedented capabilities may arise. Enrichment of undergraduate and graduate course curricula and development of computational/modeling tools are also anticipated.

NIRT：化学可调纳米电子和纳米机电系统AbstractThe跨学科的研究计划旨在建立一个基本的理解界面/表面效应的电子和机械性能的纳米材料纳入设备。 将开发表面化学以控制纳米材料，特别是单壁碳纳米管的高度环境敏感性反应，并将进行纳米表面和界面的协同计算和实验研究。预计这将导致简单但有效的化学手段来调整碳纳米管晶体管和谐振器的电子特性。此外，这些化学可调的纳米管将提供适用于开发工程概念和设计新的纳米电子和机电架构的通用构建块。该NIRT项目的成功将为科学和工程多个领域的研究和教育以及新材料和新设备提供多样化的资源，从而可能产生具有前所未有能力的集成电子和传感器技术。 还预计将丰富本科生和研究生课程，开发计算/建模工具。