Predictive TCAD for NBTI stress-recovery in various device architectures and channel materials
2017 IEEE International Reliability Physics Symposium (IRPS)
A 3-D TCAD framework is proposed for simulating Negative Bias Temperature Instability (NBTI) in Silicon (Si) and Silicon Germanium (SiGe) channel p-MOSFETs. Different types of device architectures such as planar, bulk and SOI FinFETs as well as Gate All Around Nanowire FETs (GAA NWFETs) have been simulated. The framework can predict device degradation during stress and the recovery of degradation after stress. NBTI measured data are predicted for Si and SiGe planar devices with different Ge%, and Si FinFETs. Calibrated TCAD is used to predict impact of technology scaling on NBTI, for constant gate bias (VG) and constant overdrive (VOV) stress. It is reported that (1) reducing the fin and NW width makes NBTI reliability worse for FinFETs and NWFETs, (2) devices with SiGe channel offer superior NBTI reliability as compared to Si channel, consistent with published reports, and (3) GAA NWFETs are more NBTI-prone when compared to planar and FinFET architectures. The fin and NW geometry dependence of NBTI Voltage Acceleration Factor (VAF) and degradation at End-Of-Life (EOL) have been investigated in detail.
End Of Life (EOL) degradation, FinFET, GAA NWFET, Hole trapping, Interface trap generation, NBTI, Si channel, SiGe channel, TCAD, Voltage Acceleration Factor (VAF)
Subrat Mishra, Hiu Yung Wong, Ravi Tiwari, Ankush Chaudhary, Narendra Parihar, Rakesh Rao, Steve Motzny, Victor Moroz, and Souvik Mahapatra. "Predictive TCAD for NBTI stress-recovery in various device architectures and channel materials" 2017 IEEE International Reliability Physics Symposium (IRPS) (2017): 6A3.1-6A3.8. https://doi.org/10.1109/IRPS.2017.7936335