SHF: SMALL: Energy Efficient Self-Healing Design of Carbon Nanotube Thin Film Transistors

SHF：小型：碳纳米管薄膜晶体管的节能自愈设计

• 批准号: 1319935
• 负责人: Satish Kumar
• 金额: $ 45万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1319935&HistoricalAwards=false
• 关键词: SHF; SMALL; Energy; Efficient; Self

Thin-film transistors (TFTs) are one of the most important components of macro-electronic circuits used in various flexible electronic applications such as displays, large area sensors, radio frequency identification (RFID) tags, and antennas. In this context, Carbon Nanotube Thin-Film Transistors (CN-TFTs) are very promising for enhancing performance and expanding the range of operation of many flexible-electronic applications due to several reasons. However, some critical issues need to be addressed before CN-TFTs can be made available for commercial flexible electronic use. The objectives of this research are to: (a) analyze the effects of different coatings of CN-TFT substrates and self-heating on CN-TFT performance and reliability; and (b) design and analyze energy efficient and self-healing CN-TFT circuits and establish/control the effects of statistical and morphological variability of transistors on circuit-level performance. A multi-scale modeling framework consisting of an atomistic model for Carbon Nanotube (CNT) junctions, electro-thermal transport model for CN-TFTs, and circuit models will be developed to enable this analysis. The multi-scale framework will facilitate the design of energy efficient, high performance, and reliable CN-TFT circuits and establish guidelines for significant decrease in the power consumption, hot spot temperature, and performance variations. Efficient numerical methods developed for multi-scale electrical and thermal transport will boost the field of efficient computing and analysis of electronic devices. This program will develop education modules on power consumption, energy transport and heat dissipation in electronic devices and energy-efficient circuit design, which will enhance the undergraduate and graduate curriculum. Small demonstrations and hands-on sessions prepared by this program will motivate K-12 students for higher education.

薄膜晶体管（TFT）是用于各种柔性电子应用（例如显示器、大面积传感器、射频识别（RFID）标签和天线）的宏电子电路的最重要组件之一。在这种情况下，碳纳米管薄膜晶体管（CN-TFT）由于几个原因而非常有希望用于增强许多柔性电子应用的性能并扩展其操作范围。然而，在CN-TFT可用于商业灵活电子用途之前，需要解决一些关键问题。本研究的目的是：（a）分析CN-TFT基板的不同涂层和自加热对CN-TFT性能和可靠性的影响;以及（B）设计和分析节能和自修复CN-TFT电路，并建立/控制晶体管的统计和形态变化对电路级性能的影响。一个多尺度的建模框架，包括碳纳米管（CNT）结的原子模型，电热传输模型的CN-TFT，和电路模型将被开发，使这种分析。多尺度框架将促进节能、高性能和可靠的CN-TFT电路的设计，并为显著降低功耗、热点温度和性能变化建立指导方针。针对多尺度电和热输运开发的高效数值方法将推动电子器件的高效计算和分析领域。该计划将开发关于电子设备和节能电路设计中的功耗，能量传输和散热的教育模块，这将增强本科和研究生课程。该计划准备的小型演示和实践课程将激励K-12学生接受高等教育。