A neural network approach to classify inversion regions of high mobility ultralong channel single walled carbon nanotube field-effect transistors for sensing applications

• Main Authors: Hari Krishna, S. V., An, Jianing, Zheng, Lianxi
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/105010; http://hdl.handle.net/10220/16823; http://dx.doi.org/10.1109/INEC.2013.6465961
• Institution: Nanyang Technological University

Millimetre long individual single walled carbon nanotubes (SWCNTs) were consistently grown and fabricated into carbon nanotube field effect transistors (CNTFETs). In this work, we extracted the effective mobilities in the strong inversion region, near-threshold region and subthreshold region respect...