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Design process variations are captured with confidence ellipsoids and approximated to yield a convex problem.
W1 S-fin of the first fin body is slightly smaller owing to the process variations.
Although the significance of the effect of process variations is widely accepted, there is limited number of studies addressing the impact of process variations on AEC.
Technology enhancement has increased sensitivity of process variations of scaled SRAM on the verge of instability.
Hence, it shows high immunity against process variations, doping control issues and random dopant fluctuations (RDF).
The calibrated model is used to simulate six process variations in a full factorial experiment.
The model was used to predict how 12 process variations impact the separation.
Moreover, the robustness of these designs with respect to typical process variations is systematically studied.
As a result, it is difficult for them to effectively capture the process variations of UPM.
In the paper we analyze the uncertainty introduced by process variations in detecting these defects.
For both process variations a failure of the joint within the base material PA6.6 was achieved.
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