Self-heating induced Variability and Reliability in Nanosheet-FETs Based SRAM

Abstract

In this paper a new methodology is proposed to investigate variability and reliability correlated with self-heating effect (SHE) in digital circuits during random operation. In this methodology, the arbitrary power waveform (APW) self-heating model is applied to carry out self-heating evaluation with the input sequences generated by the power waveform generator (PWG). Based on the proposed method, self-heating induced variability and HCI degradation in Nanosheet-FETs based SRAM are investigated. The results show it is essential to take the self-heating variation into account for circuit design and reliability prediction.