scholarly journals Influence of Electron-Electron Interaction on Electron Distributions in Short Si-MOSFETs Analysed Using the Local Iterative Monte Carlo Technique

VLSI Design ◽  
2001 ◽  
Vol 13 (1-4) ◽  
pp. 175-178
Author(s):  
T. Mietzner ◽  
J. Jakumeit ◽  
U. Ravaioli

The effects of electron–electron interaction on the electron distribution in n-channel metal-oxide-semiconductor field-effect transistors (MOSFETs) are studied using the Local Iterative Monte Carlo (LIMO) technique. This work demonstrates that electron–electron scattering can be efficiently treated within this technique. The simulation results of a 90 nm Si-MOSFET are presented. We observe an increase of the high energy tail of the electron distribution at the transition from channel to drain.

2008 ◽  
Vol 104 (4) ◽  
pp. 044504 ◽  
Author(s):  
Karim Huet ◽  
Damien Querlioz ◽  
Wipa Chaisantikulwat ◽  
Jérôme Saint-Martin ◽  
Arnaud Bournel ◽  
...  

VLSI Design ◽  
1998 ◽  
Vol 8 (1-4) ◽  
pp. 343-347 ◽  
Author(s):  
Jürgen Jakumeit ◽  
Amanda Duncan ◽  
Umberto Ravaioli ◽  
Karl Hess

The Mutation Operator Monte Carlo method (MOMC) is a new type of Monte Carlo technique for the study of hot electron related effects in semiconductor devices. The MOMC calculates energy distributions of electrons by a physical mutation of the distribution towards a stationary condition. In this work we compare results of an one dimensional simulation of an 800nm Si-MOSFET with full band Monte Carlo calculations and measurement results. Starting from the potential distribution resulting from a drift diffusion simulation, the MOMC calculates electron distributions which are comparable to FBMC-results within minutes on a modern workstation. From these distributions, substrate and gate currents close to experimental results can be calculated. These results show that the MOMC is useful as a post-processor for the investigation of hot electron related problems in Si-MOSFETs. Beside the computational efficiency, a further advantage of the MOMC compared to standard MC techniques is the good resolution of the high energy tail of the distribution without the necessity of any statistical enhancement.


2007 ◽  
Vol 101 (11) ◽  
pp. 114511 ◽  
Author(s):  
J. Łusakowski ◽  
M. J. Martín Martínez ◽  
R. Rengel ◽  
T. González ◽  
R. Tauk ◽  
...  

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