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4.4.4 Discussion

The drive current improvements for the various optimizations performed are summarized in Table 4.4. The performance gains given refer to uniformly doped devices with a bulk doping concentration of 5.47$\cdot$10$^{17}$cm$^{-3}$ and 2.39$\cdot$10$^{18}$ cm$^{-3}$ for Device Generation A and Device Generation B, respectively. In this table the optimization results using a one-dimensional approach in the vertical direction are shown, too.


Table 4.4: Performance comparison of the various drive current optimization results.
  Device Generation A Device Generation B
device $I_{\mathrm{on}}$ ($\mu $A) perf. gain $I_{\mathrm{on}}$ ($\mu $A) perf. gain
uniformly doped 258.5 - 130.8 -
one-dimensional vertical 290.3 12.3% 176.4 34.9%
two-dimensional 373.7 44.6% 224.2 71.4%
one Gaussian function 369.3 42.9% 214.0 63.6%
two Gaussian functions 373.2 44.4% 222.5 70.1%

Fig. 4.12 shows the vertical doping profiles after the one-dimensional optimization for both Device Generation A and Device Generation B. In this case only vertical doping variations were allowed in the inverted-T region already used for the two-dimensional approach. The resulting profiles consist of a doping layer close to the silicon surface which sets the threshold voltage and a buried layer under the source and drain wells preventing punchthrough.

Figure 4.12: The drive current optimization results of the purely vertical optimizations for Device Generation A (top) and Device Generation B (bottom).
\resizebox{0.95\textwidth }{!}{
\psfrag{xlabel} [ct][ct] {vertical position y ($...
...includegraphics[width=0.95\textwidth ]{../figures/onedim-0.25-drivecurrent.eps}}
\resizebox{0.95\textwidth }{!}{
\psfrag{xlabel} [ct][ct] {vertical position y ($...
...includegraphics[width=0.95\textwidth ]{../figures/onedim-0.10-drivecurrent.eps}}

It is clearly demonstrated that the complex results from two-dimensional optimizations can successfully be substituted by Gaussian functions without a substantial performance loss. This does not mean that the two-dimensional optimizations are useless. It rather means that the core information about how to improve the device performance is delivered by the two-dimensional approach. Based on this information, Gaussian functions can be introduced to make the doping profiles smooth.

The difference in performance gain between Method 1 and Method 2 is rather small, especially for Device Generation A, and might not justify the additional effort of a second Gaussian function.

For both device generations the doping peak in the channel region is almost identical when comparing Method 1 and Method 2. This indicates that they are equivalent techniques to prevent punchthrough.


next up previous contents
Next: 5. Peaking Channel Doping Up: 4.4 Optimization Process Previous: 4.4.3 Analytical Profiles
Michael Stockinger
2000-01-05