| Citation: |
Devenderpal Singh, Shalini Chaudhary, Basudha Dewan, Menka Yadav. Performance optimization of tri-gate junctionless FinFET using channel stack engineering for digital and analog/RF design[J]. Journal of Semiconductors, 2023, 44(11): 114103. doi: 10.1088/1674-4926/44/11/114103
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D Singh, S Chaudhary, B Dewan, M Yadav. Performance optimization of tri-gate junctionless FinFET using channel stack engineering for digital and analog/RF design[J]. J. Semicond, 2023, 44(11): 114103. doi: 10.1088/1674-4926/44/11/114103
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Performance optimization of tri-gate junctionless FinFET using channel stack engineering for digital and analog/RF design
DOI: 10.1088/1674-4926/44/11/114103
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Abstract
This manuscript explores the behavior of a junctionless tri-gate FinFET at the nano-scale region using SiGe material for the channel. For the analysis, three different channel structures are used: (a) tri-layer stack channel (TLSC) (Si–SiGe–Si), (b) double layer stack channel (DLSC) (SiGe–Si), (c) single layer channel (SLC) (Si). The I−V characteristics, subthreshold swing (SS), drain-induced barrier lowering (DIBL), threshold voltage (Vt), drain current (ION), OFF current (IOFF), and ON-OFF current ratio (ION/IOFF) are observed for the structures at a 20 nm gate length. It is seen that TLSC provides 21.3% and 14.3% more ON current than DLSC and SLC, respectively. The paper also explores the analog and RF factors such as input transconductance (gm), output transconductance (gds), gain (gm/gds), transconductance generation factor (TGF), cut-off frequency (fT), maximum oscillation frequency (fmax), gain frequency product (GFP) and linearity performance parameters such as second and third-order harmonics (gm2, gm3), voltage intercept points (VIP2, VIP3) and 1-dB compression points for the three structures. The results show that the TLSC has a high analog performance due to more gm and provides 16.3%, 48.4% more gain than SLC and DLSC, respectively and it also provides better linearity. All the results are obtained using the VisualTCAD tool. -
References
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Devenderpal Singh:completed M.Tech degree in VLSI Design and CAD from Thapar University, India in 2013. He has worked as a Research Associate at IIT Jodhpur and Assistant Professor at Chitkara University, Chandigarh, India, during 2014−2019. He is currently pursuing Ph.D in the Department of Electronics and Communication Engineering from Malaviya National Institute of Technology, Jaipur, India. His research interests include Microelectronic device modeling and simulation, SRAM design, Compute-In-Memory
Shalini Chaudhary:received M.Tech degree in VLSI designing from the Banasthali University, India. She is currently pursuing Ph.D degree in Department of Electronics and Communication Engineering from Malaviya National Institute of Technology, Jaipur, India. Her research interests include micro and nano-electronic device modeling and simulation
Basudha Dewan:received M.Tech degree in Electronics and Communication Engineering from Punjab Engineering College (PEC), Chandigarh, India, in 2018. She is currently pursuing Ph.D in the Department of Electronics and Communication Engineering from Malaviya National Institute of Technology, Jaipur, India. Her research intersets include modeling and simulation of advanced semiconductor devices, design and development of semiconducotr based hybrid sensor systems
Menka Yadav:has completed her B.E. from Government Engineering College Ajmer in 2006, M.Tech from MNIT Jaipur in 2008 and Ph.D from IIT Roorkee in 2016. She has worked at BML University Gurugram, NIT Tiruchirappalli before joining MNIT Jaipur in 2019. Her research interest is device design and modeling. Applications of emerging devices to digital, analog and sensor domain, Solar cell etc