A 65nm test structure for the analysis of NBTI induced statistical variation in SRAM transistors

Thomas Fischer, E. Amirante, Karl Hofmann, Martin Ostermayr, Peter Huber, Doris Schmitt-Landsiedel

2008 · 27 citations · 12 references

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Abstract

We present the results of a test structure that allows to measure the variation of SRAM p-MOS and n-MOS transistors in a dense environment and to apply Negative Bias Temperature Instability (NBTI) stress on the p-MOS transistors. The threshold voltage (V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> ) and drain current (I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</sub> ) distributions of p-MOS SRAM transistors pre and post NBTI Stress are measured and analyzed. The probability density functions (PDF) of both transistor parameters V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> and I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</sub> follow a Gaussian distribution pre and post NBTI stress, but the difference in the transistor parameters of an individual device is not Gaussian distributed. The standard deviation in the difference of V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> is about 50% of the mean for the small SRAM p-MOS transistor. The impact of the additional variation induced by NBTI stress is shown for the Static Noise Margin of a 6-T SRAM cell.

References

12