Modeling EOL Degradation for NBTI Reliability of Low EOT Negative Capacitance p-SOI MOSFETs
Neeraj Shenoy
EECS Department, University of California, Berkeley
Technical Report No. UCB/EECS-2023-175
May 12, 2023
http://www2.eecs.berkeley.edu/Pubs/TechRpts/2023/EECS-2023-175.pdf
<p>Bias temperature instability (BTI) has become an increasingly pressing degradation mechanism due to its impact on the reliability of metal-oxide-semiconductor field-effect transistors (MOSFETs). BTI results in a gradual shift of MOSFET characteristics, such as threshold voltage (V<sub>T</sub>), over time. We are interested in the reliability of p-type silicon-on-insulator (SOI) MOSFETs (L<sub>g</sub> = 90 nm) incorporating a 1.8 nm HfO<sub>2</sub>-ZrO<sub>2</sub> superlattice (HZH) gate stack. This gate stack exhibits an effective oxide thickness of 7.5 Å due to negative capacitance (NC) effects. In this paper, we estimate the end-of-life (EOL) degradation of threshold voltage (ΔV<sub>T</sub>) of low EOT NC p-SOI MOSFETs using a negative bias temperature instability (NBTI) physical model. The model is created based on experimental data of stress time (t<sub>STR</sub>) and ΔV<sub>T</sub> of p-SOI MOSFETs under constant temperature (T = 85℃) and varying overdrive voltage (V<sub>OV</sub>) conditions. We find ΔV<sub>IT</sub>, the interface trap contribution, is the major contributor to the overall ΔV<sub>T</sub>, while ΔV<sub>HT</sub> and ΔV<sub>OT</sub>, the hole trapping and bulk trap generation contributions, are negligible. So, we extrapolate the ΔV<sub>IT</sub> physical model out to t<sub>STR</sub> = 10 years ≈ 3 * 10<sup>8</sup> seconds and find estimates for degradation of ΔV<sub>T</sub> at EOL. We now have a better sense of the reliability of NC p-SOI MOSFETs under constant T and varying V<sub>OV</sub> conditions.</p>
Advisors: Jeffrey Bokor
BibTeX citation:
@mastersthesis{Shenoy:EECS-2023-175, Author= {Shenoy, Neeraj}, Editor= {Salahuddin, Sayeef}, Title= {Modeling EOL Degradation for NBTI Reliability of Low EOT Negative Capacitance p-SOI MOSFETs}, School= {EECS Department, University of California, Berkeley}, Year= {2023}, Month= {May}, Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2023/EECS-2023-175.html}, Number= {UCB/EECS-2023-175}, Abstract= {<p>Bias temperature instability (BTI) has become an increasingly pressing degradation mechanism due to its impact on the reliability of metal-oxide-semiconductor field-effect transistors (MOSFETs). BTI results in a gradual shift of MOSFET characteristics, such as threshold voltage (V<sub>T</sub>), over time. We are interested in the reliability of p-type silicon-on-insulator (SOI) MOSFETs (L<sub>g</sub> = 90 nm) incorporating a 1.8 nm HfO<sub>2</sub>-ZrO<sub>2</sub> superlattice (HZH) gate stack. This gate stack exhibits an effective oxide thickness of 7.5 Å due to negative capacitance (NC) effects. In this paper, we estimate the end-of-life (EOL) degradation of threshold voltage (ΔV<sub>T</sub>) of low EOT NC p-SOI MOSFETs using a negative bias temperature instability (NBTI) physical model. The model is created based on experimental data of stress time (t<sub>STR</sub>) and ΔV<sub>T</sub> of p-SOI MOSFETs under constant temperature (T = 85℃) and varying overdrive voltage (V<sub>OV</sub>) conditions. We find ΔV<sub>IT</sub>, the interface trap contribution, is the major contributor to the overall ΔV<sub>T</sub>, while ΔV<sub>HT</sub> and ΔV<sub>OT</sub>, the hole trapping and bulk trap generation contributions, are negligible. So, we extrapolate the ΔV<sub>IT</sub> physical model out to t<sub>STR</sub> = 10 years ≈ 3 * 10<sup>8</sup> seconds and find estimates for degradation of ΔV<sub>T</sub> at EOL. We now have a better sense of the reliability of NC p-SOI MOSFETs under constant T and varying V<sub>OV</sub> conditions.</p>}, }
EndNote citation:
%0 Thesis %A Shenoy, Neeraj %E Salahuddin, Sayeef %T Modeling EOL Degradation for NBTI Reliability of Low EOT Negative Capacitance p-SOI MOSFETs %I EECS Department, University of California, Berkeley %D 2023 %8 May 12 %@ UCB/EECS-2023-175 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2023/EECS-2023-175.html %F Shenoy:EECS-2023-175