scholarly journals Reduction of Random Dopant Fluctuation-induced Variation in Junctionless FinFETs via Negative Capacitance Effect

2019 ◽  
Vol 19 (01) ◽  
pp. 2050002
Author(s):  
W. F. Lü ◽  
L. Dai ◽  
Z. F. Zhao ◽  
M. Lin

In this paper, we investigate the impact of random dopant fluctuation (RDF) on the statistical variations in negative capacitance MOSFETs (NCFETs) through a device simulation coupled with the Landau–Khalatnikov (LK) equation. Compact models for feedback mechanisms that are based on the internal gate voltage amplification in NCFETs are proposed. The results show that internal voltage amplification plays a decisive role in performance improvement of device variability. Further, our simulation study demonstrates that owing to the feedback mechanism, the dispersions of the performance parameters in NCFETs exhibit different statistical distribution characteristics compared to their MOSFET counterparts. Our study may provide further insight regarding device and/or circuit designs utilizing NCFETs.


Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1899
Author(s):  
Yejoo Choi ◽  
Jinwoong Lee ◽  
Jaehyuk Lim ◽  
Seungjun Moon ◽  
Changhwan Shin

In this study, the impact of the negative capacitance (NC) effect on process-induced variations, such as work function variation (WFV), random dopant fluctuation (RDF), and line edge roughness (LER), was investigated and compared to those of the baseline junctionless nanowire FET (JL-NWFET) in both linear (Vds = 0.05 V) and saturation (Vds = 0.5 V) modes. Sentaurus TCAD and MATLAB were used for the simulation of the baseline JL-NWFET and negative capacitance JL-NWFET (NC-JL-NWFET). Owing to the NC effect, the NC-JL-NWFET showed less variation in terms of device performance, such as σ[Vt], σ[SS], σ[Ion/Ioff], σ[Vt]/µ[Vt], σ[SS]/µ[SS], and σ[Ion/Ioff]/µ[Ion/Ioff], and enhanced device performance, which implies that the NC effect can successfully control the variation-induced degradation.


Author(s):  
Kai Zhang ◽  
Weifeng Lü ◽  
Peng Si ◽  
Zhifeng Zhao ◽  
Tianyu Yu

Background: In state-of-the-art nanometer metal-oxide-semiconductor-field-effect- transistors (MOSFETs), optimization of timing characteristic is one of the major concerns in the design of modern digital integrated circuits. Objective: This study proposes an effective back-gate-biasing technique to comprehensively investigate the timing and its variation due to random dopant fluctuation (RDF) employing Monte Carlo methodology. Methods: To analyze RDF-induced timing variation in a 22-nm complementary metal-oxide semiconductor (CMOS) inverter, an ensemble of 1000 different samples of channel-doping for negative metal-oxide semiconductor (NMOS) and positive metal-oxide semiconductor (PMOS) was reproduced and the input/output curves were measured. Since back-gate bias is technology dependent, we present in parallel results with and without VBG. Results: It is found that the suppression of RDF-induced timing variations can be achieved by appropriately adopting back-gate voltage (VBG) through measurements and detailed Monte Carlo simulations. Consequently, the timing parameters and their variations are reduced and, moreover, that they are also insensitive to channel doping with back-gate bias. Conclusion: Circuit designers can appropriately use back-gate bias to minimize timing variations and improve the performance of CMOS integrated circuits.


Nano Letters ◽  
2017 ◽  
Vol 17 (8) ◽  
pp. 4801-4806 ◽  
Author(s):  
Felicia A. McGuire ◽  
Yuh-Chen Lin ◽  
Katherine Price ◽  
G. Bruce Rayner ◽  
Sourabh Khandelwal ◽  
...  

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