3-D-TCAD-Based Parasitic Capacitance Extraction for Emerging Multigate Devices and Circuits

In recent years, the multigate field-effect transistor (FET) has emerged as the most viable contender for technology scaling down to the sub-10-nm nodes. The nonplanar nature of multigate devices, along with rapidly shrinking front-end-of-line (FEOL) and back-end-of-line (BEOL) features, has compounded the problem of parasitics extraction in future technology nodes. In this paper, for the first time, we address the above problem through a holistic 3-D-technology CAD (3-D-TCAD) flow for the extraction of FEOL/(FEOL+BEOL) capacitances in generic multigate circuit layouts, using a transport analysis-based approach. We investigate device-level parasitic capacitances in 3-D-process-simulated bulk and silicon-on-insulator FinFETs, and uncover capacitance scaling trends for candidate single/multifin multigate FETs along the 22-nm/14-nm/10-nm technology nodes. Leveraging automated structure synthesis algorithms, we synthesize 3-D multigate 6T SRAM structures using the process-simulated devices, and examine the effects of fin pitch, gate pitch, and fin count on circuit-level parasitics. Thereafter, we show that traditional segregated FEOL/BEOL modeling approaches fail to provide accurate estimates, by back-annotating 3-D-TCAD-extracted capacitances into mixed-mode write simulations of a 6T FinFET SRAM bitcell. Finally, using FinFET NAND2 logic gate delay simulations, we establish the fact that capturing parasitics accurately is as important as modeling device transport accurately, and that performance/dynamic behavior in multigate circuits is highly sensitive to both factors.