Title :
Theoretical small-signal performance of Si/SiGe/Si HBT
Author :
Sankaran, Vasudevan ; Hinckley, John M. ; Singh, Jasprit
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
9/1/1993 12:00:00 AM
Abstract :
Application of the Monte Carlo technique to analyze electron and hole transport in bulk Si0.8Ge0.2 and strained Si 0.8Ge0.2/Si is discussed. The computed minority- and majority-carrier transport properties were used in a comprehensive small-signal model to evaluate the high-frequency performance of a state-of-the-art n-p-n heterostructure bipolar transistors (HBT) fabricated with SiGe as the base material. The valence band discontinuity of a SiGe-base HBT reverses the degradation in emitter injection efficiency caused by bandgap narrowing in the base, and permits a higher ratio of base doping to emitter doping than would be practical for a bipolar transistor. Any degradative effect of increased base doping on electron and hole mobilities is offset by improved transport in the strained SiGe base, resulting in a marked decrease in the base resistance and base transit time. Compared to the Si BJT, the use of Si0.8Ge0.2 for the base region of an HBT leads to significant improvements in low-frequency common emitter current gain, low-frequency unilateral power gain, and maximum oscillation frequency
Keywords :
Ge-Si alloys; Monte Carlo methods; heterojunction bipolar transistors; minority carriers; semiconductor device models; silicon; HBT; Monte Carlo technique; Si-SiGe-S; bandgap narrowing; base doping; degradation; electron transport; emitter doping; emitter injection efficiency; high-frequency performance; hole transport; low-frequency common emitter current gain; majority-carrier transport properties; minority carrier transport properties; small-signal performance; state-of-the-art n-p-n heterostructure bipolar transistors; valence band discontinuity; Bipolar transistors; Charge carrier processes; Degradation; Doping; Germanium silicon alloys; Heterojunction bipolar transistors; High performance computing; Monte Carlo methods; Semiconductor process modeling; Silicon germanium;
Journal_Title :
Electron Devices, IEEE Transactions on