The degradation of reliability caused by plasma-induced damage (PID) has become a significant concern with the miniaturization of device size. In particular, it is difficult to relieve PID in silicon-on-insulator (SOI) because it contains buried oxide (BOX) layers. In this work, we compare PID between a bulk and a silicon on thin BOX (SOTB), which has BOX layers of less than 10 nm. We measure frequencies of ring oscillators with an antenna structure on a single stage. In the bulk, PID is relieved by first connecting an antenna to a drain because electric charge flows to a substrate. The difference in initial frequency is 0.79% between structures, which cause and relieve PID. SOTB also relieves the same amount of PID. Initial frequencies are affected by PID, but there is no effect of PID on the long-term degradation mainly caused by bias temperature instability (BTI).
We analyze the correlation between BTI (Bias Temperature Instability)-induced degradations and process variations. Those reliability issues are correlated. BTI is one of the most significant agingdegradations on LSIs. Threshold voltages of MOSFETs increase with time when biases stress their gates. It shows a strong effect of BTI on highly scaled LSIs in the same way as the process variations. The accurate prediction of the combinational effects is indispensable. We should analyze both aging-degradations and process variations of MOSFETs to explain the correlation. We measure frequencies of ROs (Ring Oscillators) of 65-nm process test circuits on two types of LSIs, ASICs and FPGAs. There are 98 and 837 ROs on our ASICs and FPGAs respectively. The frequencies of ROs follow gaussian distributions. We describe the highest frequency group as the "fast" conditon, the average group as the "typical" conditon and the lowest group as the "slow" conditon. We measure the aging-degradations of the ROs of the three conditions on the accelerated test. The degradations can be approximated by logarithmic function of stress time. The degradation at the "fast" condition has a higher impact on the frequency than the "slow" one. The correlation coefficient is 0.338. In this case, we can define a smaller design margin for BTI-induced degradations than that without considering the correlation because the degradation at the "slow" conditon is smaller than the average and the fast.
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