Publications by Antonio D'Amico

Related publications (6)

Back-gate effects on DC performance and carrier transport in 22 nm FDSOI technology down to cryogenic temperatures

Edoardo Charbon, Christian Enz, Farzan Jazaeri, Hung-Chi Han, Antonio D'Amico

This paper presents an in-depth DC characterization of a 22 nm FDSOI CMOS technology down to deep cryogenic temperature, i.e., 2.95 K. The impact of the back-gate voltage (V-back) on device performance, i.e., threshold voltage (V-T) and carrier transport, ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Cryogenic RF Characterization and Simple Modeling of a 22 nm FDSOI Technology

Edoardo Charbon, Christian Enz, Farzan Jazaeri, Hung-Chi Han, Antonio D'Amico

This paper presents the RF characterization and modeling of a 22nm FDSOI technology down to 3.3K for quantum computing applications. The equivalent small-signal components are extracted analytically and automatically from the de-embedded two-port Y -parame ...

IEEE2022

In-depth Cryogenic Characterization of 22 nm FDSOI Technology for Quantum Computation

Edoardo Charbon, Christian Enz, Farzan Jazaeri, Hung-Chi Han, Antonio D'Amico

In this paper, the influence of temperature and back-gate bias is experimentally investigated on 22 nm FDSOI CMOS process. Cryogenic DC characterization was carried out under various back-gate voltages, V back , from 2.95 K back to 300 K. An abrupt drop-of ...

IEEE2021

Comprehensive Design-oriented FDSOI EKV Model

Christian Enz, Hung-Chi Han, Antonio D'Amico

The work presents the comprehensive design-oriented EKV model for FDSOI technologies, including the backgate effects and geometry dependence. Despite its simplicity, the model correctly captures not only the dependence of the threshold voltage versus the b ...

IEEE2022

SEKV-E: Parameter Extractor of Simplified EKV I-V Model for Low-Power Analog Circuits

Christian Enz, Hung-Chi Han, Antonio D'Amico

This paper presents the open-source Python-based parameter extractor (SEKV-E) for the simplified EKV (sEKV) model, which enables the modern low-power circuit designs with the inversion coefficient design methodology. The tool extracts the essential sEKV pa ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Cryogenic Characterization of 16 nm FinFET Technology for Quantum Computing

Edoardo Charbon, Christian Enz, Farzan Jazaeri, Hung-Chi Han, Antonio D'Amico

This study presents the first in depth characterization of deep cryogenic electrical behavior of a commercial 16 nm CMOS FinFET technology. This technology is well suited for a broad range of applications, including quantum computing, quantum sensing, and ...

IEEE2021