Modeling emerging technologies using machine learning: Challenges and opportunities
Compact models of transistors act as the link between semiconductor technology and circuit
design via circuit simulations. Unfortunately, compact model development and calibration is …
design via circuit simulations. Unfortunately, compact model development and calibration is …
Impact of variability on processor performance in negative capacitance finfet technology
In this work, we investigate for the first time the impact of Negative Capacitance FinFET (NC-
FinFET) technology on the performance of processors under the effects of process variations …
FinFET) technology on the performance of processors under the effects of process variations …
Design automation of approximate circuits with runtime reconfigurable accuracy
Leveraging the inherent error tolerance of a vast number of application domains that are
rapidly growing, approximate computing arises as a design alternative to improve the …
rapidly growing, approximate computing arises as a design alternative to improve the …
Impact of interface traps on negative capacitance transistor: Device and circuit reliability
In this work, we investigate the impact of Si-SiO 2 interface traps on the performance of
negative capacitance transistor, which is a promising emerging technology that aims at …
negative capacitance transistor, which is a promising emerging technology that aims at …
Implementation and performance evaluation of ferroelectric negative capacitance FET
With the constant increase in power dissipation of nanoscale transistors, the almost four-
decade-old cycle of performance advancement in complementary metal–oxide …
decade-old cycle of performance advancement in complementary metal–oxide …
On the resiliency of NCFET circuits against voltage over-scaling
Approximate computing is established as a design alternative to improve the energy
requirements of a vast number of applications, leveraging their intrinsic error tolerance …
requirements of a vast number of applications, leveraging their intrinsic error tolerance …
Cell library characterization using machine learning for design technology co-optimization
To explore the full potential of any circuit and ensure its functionality at run-time, cell libraries
beyond the typical PVT corners are needed. This holds even more for emerging …
beyond the typical PVT corners are needed. This holds even more for emerging …
Analytical modeling of negative capacitance transistor based ultra low power Schmitt trigger
G Keerthi, S Semwal, A Kranti - Solid-State Electronics, 2023 - Elsevier
Through an analytical framework, the work showcases the potential benefits of Metal-
Ferroelectric-Metal-Insulator-Semiconductor (MFMIS) negative capacitance (NC) transistor …
Ferroelectric-Metal-Insulator-Semiconductor (MFMIS) negative capacitance (NC) transistor …
Analysis of performance for novel pocket-doped NCFET under the influence of interface trap charges and temperature variation
B Choudhuri, K Mummaneni - Microelectronics Journal, 2022 - Elsevier
This paper explores the DC characteristics and trap analysis of single gate NCFET (SG-
NCFET) and highly doped double pocket double gate NCFET (HDDP-DG-NCFET) with …
NCFET) and highly doped double pocket double gate NCFET (HDDP-DG-NCFET) with …
Power-efficient heterogeneous many-core design with ncfet technology
Multi-/many-core, homogeneous or heterogeneous architectures, using the existing CMOS
technology are inevitably approaching the limit of attainable power efficiency due to the …
technology are inevitably approaching the limit of attainable power efficiency due to the …