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5.4.6 Results

The results of the optimization are shown in Figure 5.18 to Figure 5.24. In the graphics the curve for the start values is plotted with a dashed line (the values are marked with boxes), the measured data is plotted with a solid line (the values are marked with circles), and the optimization result is plotted with a dotted line (the values are marked with crosses).

Figure 5.18: Id-Vd curve of the $0.18 \ {\rm\mu m}$ device for $V_g = 1 \ {\rm V}$ , $1.5 \ {\rm V}$, and $2 \ {\rm V}$.
\includegraphics[width=\linewidth]{graphics/appc/Id-Vd-018+start.ps}

Figure 5.19: Id-Vg curve of the $0.17 \ {\rm\mu m}$ device for $V_d = 0.05 \ {\rm V}$ and $1.5 \ {\rm V}$.
\includegraphics[width=\linewidth]{graphics/appc/Id-Vg-018+start.ps}

Figure 5.20: Id-Vd curve of the $0.25 \ {\rm\mu m}$ device for $V_g = 1 \ {\rm V}$ , $1.5 \ {\rm V}$, and $2 \ {\rm V}$.
\includegraphics[width=\linewidth]{graphics/appc/Id-Vd-025+start.ps}

Figure 5.21: Id-Vg curve of the $0.25 \ {\rm\mu m}$ device for $V_d = 0.05 \ {\rm V}$ and $1.5 \ {\rm V}$.
\includegraphics[width=\linewidth]{graphics/appc/Id-Vg-025+start.ps}

Figure 5.22: Id-Vd curve of the $0.5 \ {\rm\mu m}$ device for $V_g = 1 \ {\rm V}$ , $1.5 \ {\rm V}$, and $2 \ {\rm V}$.
\includegraphics[width=\linewidth]{graphics/appc/Id-Vd-050+start.ps}

Figure 5.23: Id-Vg curve of the $0.5 \ {\rm\mu m}$ device for $V_d = 0.05 \ {\rm V}$ and $1.5 \ {\rm V}$.
\includegraphics[width=\linewidth]{graphics/appc/Id-Vg-050+start.ps}

Figure 5.24: C/V curve of the $10 \ {\rm\mu m}$ device.
\includegraphics[width=0.65\linewidth]{graphics/appc/C-V+start.ps}

The GUI of the framework show in Figure 5.25 in which the parameter N3 and N4 and the error vector of the initial and the optimum transistors is displayed. The optimization took 151 evaluations (110 gradient evaluations) returning the values listed in Table 5.5.

Figure 5.25: GUI of the SIESTA optimize module.
\includegraphics[width=0.75\linewidth]{graphics/invmod.eps}


Table 5.5: The results of the inverse modeling task.
Name Minimum Maximum Result
N1 18.5 19.8 19.5
N3 16.5 18.5 17.34
y0,3 0.07 0.17 0.083
N4 16.0 17.5 17.38
tox 0.0 0.004 0.0038


next up previous contents
Next: 6. Discussion Up: 5.4 Task Description Previous: 5.4.5 Optimization Using Electrical

R. Plasun