Calculation of hot electron distributions in silicon by means of an evolutionary algorithm

1996 ◽  
Vol 80 (9) ◽  
pp. 5061-5066 ◽  
Author(s):  
J. Jakumeit ◽  
U. Ravaioli ◽  
K. Hess
VLSI Design ◽  
1998 ◽  
Vol 6 (1-4) ◽  
pp. 307-311
Author(s):  
J. Jakumeit ◽  
U. Ravaioli ◽  
K. Hess

We introduce a new approach to hot electron effects in Si-MOSFETs, based on a mixture of evolutionary optimization algorithms and Monte Carlo technique. The Evolutionary Algorithm searchs for electron distributions which fit a given goal, for example a measured substrate current and in this way can calculate backwards electron distributions from measurement results. The search of the Evolutionary Algorithm is directed toward physically correct distributions by help of a Monte Carlo like mutation operator. Results for bulk-Si demonstrate the correctness of the physical model in the Monte Carlo like mutation operator and the backward calculation ability of the Evolutionary Algorithm. First results for Si-MOSFETs are qualitatively comparable to results of a Full Band Monte Carlo simulation.


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.


VLSI Design ◽  
2001 ◽  
Vol 13 (1-4) ◽  
pp. 57-61
Author(s):  
Jürgen Jakumeit ◽  
Torsten Mietzner ◽  
Umberto Ravaioli

The Local Iterative Monte Carlo technique (LIMO) is used for an effective simulation of hot electron distributions in silicon MOSFETs. This new Monte Carlo approach yields an efficient use of the computational resources due to a different iteration scheme. In addition the necessary computation time can be further reduced by a reuse of the computational expensive MC step simulation results in the iteration process. The later possibility is investigated in detail in this work. Results for short channel MOSFETs demonstrates that correct two-dimensional hot electron distributions can be calculated by LIMO within 1 hour on a standard work station.


2012 ◽  
Vol 14 (6) ◽  
pp. 063023 ◽  
Author(s):  
P Antici ◽  
B Albertazzi ◽  
P Audebert ◽  
S Buffechoux ◽  
F Hannachi ◽  
...  

1991 ◽  
Vol 44 (7) ◽  
pp. 2969-2978 ◽  
Author(s):  
Chang Sub Kim ◽  
Bernie Shizgal

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