Carbon nanotube (CNT) network based thin film transistors (CN-TFTs) are very promising for enhancing the performance of many large-area flexible-electronics applications such as displays, sensors, RF identification tags, and antennas. The awarded project will analyze and design energy-efficient and self-healing CN-TFT circuits considering the statistical and morphological fluctuations and self-heating effects in the thin film transistors. Researchers will develop a multi-scale computational framework comprising of atomistic model for CNT junctions ,and self-consistent electro-thermal model for transistors. The developed multi-scale framework will facilitate the design of energy efficient, high performance, and reliable CN-TFTs circuits and establish guidelines for decrease in power consumption, and hot spot temperature in these devices.
The lead investigator of the project, Satish Kumar, has been a faculty member at Georgia Tech since 2009. His research is focused on micro-nano scale electrical and thermal transport in microelectronics and nano-engineered systems.