Associate Professor
Department of Electrical and Computer Engineering
Florida Polytechnic University, USA
BTBT Transistor — A Radical Alternative to Overcome the Thermionic Limits
Multilayer molybdenum disulfide (MoS2) is a two-dimensional (2D) transition metal dichalcogenides (TMD) material that has emerged as the new super material for the post-silicon and beyond-graphene technologies. TFET technology, which is being investigated to overcome the thermionic emission limit of MOSFET, is still facing the challenge of low ON-current. 2D material based TFETs can have much better gate control and higher electric field at the tunnel junction, and can, in principle, provide high ON-current and low subthreshold swing (S) compared to the conventional MOSFETs.
This research introduces a new TFET structure based on multilayer MoS2 as a channel material and identifies the fundamental parameters and design specifications that need to be optimized to achieve higher ON-currents. A simple analytical model of the proposed device is derived by solving the time-independent Schrödinger equation. It is identified that multilayer MoS2 sheet can have a lower indirect bandgap, which is useful for band-to-band-tunneling (BTBT) device. It is analytically proven that the proposed device can offer an ON-current of 105 μA/μm, a subthreshold swing (S) of 9.12 mV/decade, and an ION/IOFF ratio of 1012.
Dr. Muhammad Sana Ullah is currently working as an Associate Professor of Electrical and Computer Engineering at Florida Polytechnic University. Before joining Florida Poly, Dr. Ullah worked as a full-time lecturer from 2008 to 2011 at the Chittagong University of Engineering & Technology (CUET), Bangladesh. Dr. Ullah is the recipient of the 2023 ABLAZE Teaching Award, 2016 UMKC SGS Research Grant, and 2015 Preparing Future Faculty Award.
He received both his Ph.D. and MS degrees in Electrical and Computer Engineering — from the University of Missouri-Kansas City (UMKC) in May 2016 with VLSI concentration, and from Purdue University Northwest in May 2013 with communication and signal processing concentration, respectively. He also received his BS degree in Electrical and Electronic Engineering from CUET, Bangladesh in 2008. His research focuses on signal processing for deception detection, analysis and synthesis of ECG and EEG signals, modeling of interconnects in high-density integrated circuits, energy efficient electronic devices, and high performance VLSI. He has authored more than 60 referred journals and conference articles and delivered over 28 technical talks internationally.