Predictive MOSFET models are critical for early stage design-technology co-optimization and circuit design research In this work, Predictive Technology Model files for sub-20nm multi-gate transistors have been developed (PTM-MG) Based on MOSFET scaling theory, the 2011 ITRS roadmap and early stage silicon data from published results, PTM for FinFET devices are generated for 5 technology nodes corresponding to the years 2012-2020 on the ITRS roadmap

Exploring sub-20nm FinFET design with predictive technology models

Nanowire (NW) devices, particularly the gate-all-around (GAA) CMOS architecture, have emerged as the front-runner for pushing CMOS scaling beyond the roadmap. These devices offer unique advantages over their planar counterparts which make them feasible as an option for 22 -nm and beyond technology nodes. This paper reviews the current technology status for realizing the GAA NW device structures and their applications in logic circuit and nonvolatile memories. We also take a glimpse into applications of NWs in the ldquomore-than-Moorerdquo regime and briefly discuss the application of NWs as biochemical sensors. Finally, we summarize the status and outline the challenges and opportunities of the NW technology.

Si, SiGe Nanowire Devices by Top–Down Technology and Their Applications

Due to the limited control of the short channel effects, the high junction leakage caused by band-to-band tunneling and the dramatically increased VT statistical fluctuations, the scaling of planar bulk MOSFETs becomes more and more problematic with every technology node. The ITRS roadmap predicts that from the 32 nm technology node on, planar bulk devices will not be able to meet the stringent leakage requirements anymore and that multi-gate devices will be required. In this paper, the suitability of FinFET-based multi-gate devices for the 32 nm technology and beyond will be discussed. Apart from the benefits, some technological challenges will be addressed.

Multi-gate devices for the 32 nm technology node and beyond

Sub-20 nm gate length FinFETs, are constrained by the very thin fin thickness (TFIN) necessary to maintain acceptable short-channel performance. For the 45 nm technology node and below, a novel device design methodology for undoped underlapped FinFETs with high-kappa spacers is presented to achieve higher circuit speed and SRAM cells with higher stability, lower leakage, faster access times and higher robustness to process variations compared to overlapped FinFETs. While comparing different FinFETs, we propose ON-current per fin as the parameter to be optimized instead of ON-current normalized to electrical width.

Sub-20 nm gate length FinFET design: Can high-κ spacers make a difference?

Due to the limited control of the short channel effects, the high junction leakage caused by band-to-band tunneling and the dramatically increased VT statistical fluctuations, the scaling of planar bulk MOSFETs becomes more and more problematic with every technology node The ITRS roadmap predicts that from the 32 nm technology node on planar bulk devices will not be able to meet the stringent leakage requirements anymore and that multi-gate devices will be required In this paper, the suitability of FinFET based multi-gate devices for the 32 nm technology and beyond will be discussed Apart from the benefits, some technological challenges will be addressed

Multi-gate devices for the 32nm technology node and beyond

This paper presents an in-depth analysis of digital performance of a Multi-Gate FET technology. Ring oscillators with metal gates and undopedfins show an inverter delay of 13.9ps at 1V, the highest performance of a Multi-Gate FET technology reported at 1.9nA off-current/stage. NAND and NOR show significant improvement in delay vs. stack height compared to bulk CMOS. SRAM cells and product-typical critical paths with more than 10k transistors demonstrate the capability for large-scale integration.

A.C. Pacha

Papers

A Low-Power Multi-Gate FET CMOS Technology with 13.9ps Inverter Delay, Large-Scale Integrated High Performance Digital Circuits and SRAM