Ajay N. Bhoj, Rajiv V. Joshi, et al.
IEEE TCADIS
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. © 2013 IEEE.
Ajay N. Bhoj, Rajiv V. Joshi, et al.
IEEE TCADIS
Rajiv V. Joshi, Matt Ziegler, et al.
CICC 2018
N. Jungmann, Rajiv V. Joshi, et al.
VLSI Technology 2023
Gokul Krishnan, Zhenyu Wang, et al.
ICSICT 2022