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4.4.2 Sensitivity Analysis

To identify the critical doping parameters and, therefore, the relevant doping regions, a sensitivity analysis is carried out. This procedure is similar to a gradient calculation during optimization. Each optimization parameter is slightly increased from its optimal value and the changes in the drive and leakage currents are used to calculate the sensitivity values. For example, the relative sensitivity of the drive current $\eta_{
{I_{\mathrm{on}}}}$ on the optimization parameter $K_\mathrm{x,y}$ is calculated by

\begin{displaymath}
\eta_{
{I_{\mathrm{on}}}} = \frac{\Delta
{I_{\mathrm{on}}}/
{I_{\mathrm{on}}}}{\Delta K_\mathrm{x,y} / K_\mathrm{x,y}}.
\end{displaymath} (4.3)

The sensitivities can be visualized on the optimization grid within the inverted-T region. The results are shown in Fig. 4.6 for Device Generation A and in Fig. 4.7 for Device Generation B.

Figure 4.6: The relative drive (top) and leakage current (bottom) sensitivities for Device Generation A.
\resizebox{0.71\textwidth }{!}{
\psfrag{x [um]} [ct][cb]{$x$\ ($\mu$m)}
\psfrag{...
...cs[height=0.71\textwidth ,angle=90]{../figures/3D-SA-ion-0.25-drivecurrent.eps}}
\resizebox{0.71\textwidth }{!}{
\psfrag{x [um]} [ct][cb]{$x$\ ($\mu$m)}
\psfrag{...
...s[height=0.71\textwidth ,angle=90]{../figures/3D-SA-ioff-0.25-drivecurrent.eps}}

Figure 4.7: The relative drive (top) and leakage current (bottom) sensitivities for Device Generation B.
\resizebox{0.71\textwidth }{!}{
\psfrag{x [um]} [ct][cb]{$x$\ ($\mu$m)}
\psfrag{...
...cs[height=0.71\textwidth ,angle=90]{../figures/3D-SA-ion-0.10-drivecurrent.eps}}
\resizebox{0.71\textwidth }{!}{
\psfrag{x [um]} [ct][cb]{$x$\ ($\mu$m)}
\psfrag{...
...s[height=0.71\textwidth ,angle=90]{../figures/3D-SA-ioff-0.10-drivecurrent.eps}}

One important region is pointed out located in the channel region, slightly beneath the silicon surface, close to the source well. Looking at the optimization results in Fig. 4.4 and Fig. 4.5 it can be seen that at this position the doping has a local maximum. In Chapter 5 it will be shown that this doping peak sets the threshold voltage of the device and reduces the effective channel length increasing the drive performance of the transistor.

The sensitivities of the drive and leakage currents look pretty much alike for both device generations. This is because a change in the acceptor doping affects both the drive and leakage current in the same way. Anyway, the highly doped regions underneath the source and drain wells in Fig. 4.4 and Fig. 4.5 were expected to influence the leakage current in a stronger way than they influence the drive current because the background doping is low (10$^{15}$ cm$^{-3}$) and the doping regions under source and drain work as a kind of shield against deep punchthrough. But as the doping in these regions is quite high which means that the shield is stronger than necessary to prevent punchthrough, a small change in the doping hardly affects the leakage current. The optimization delivered this high doping under source and drain because there was no constraint that would work against it, for example, if the drain-bulk leakage due to carrier tunneling across the abrupt junction was considered. This effect is much stronger for a higher doping under the drain well.


next up previous contents
Next: 4.4.3 Analytical Profiles Up: 4.4 Optimization Process Previous: 4.4.1 Two-Dimensional Optimization
Michael Stockinger
2000-01-05