Ferroelectric based FETs and synaptic devices for highly energy efficient computational technologies
David Esseni, Riccardo Fontanini, Daniel Lizzit, Marco Massarotto,, Francesco Driussi, Mirko Loghi

TL;DR
This paper reviews ferroelectric-based FETs and synaptic devices, emphasizing their potential for highly energy-efficient computation and discussing challenges in integration, modeling, and optimization.
Contribution
It revisits the working principles and modeling of novel ferroelectric devices, highlighting their applications in energy-efficient computing paradigms.
Findings
Ferroelectric devices offer promising energy efficiency for future computing.
Challenges remain in integration and accurate modeling of ferroelectric devices.
Potential applications include neuromorphic computing and advanced logic circuits.
Abstract
The technological exploitation of ferroelectricity in CMOS electron devices offers new design opportunities, but also significant challenges from an integration, optimization and modelling perspective. We here revisit the working principle and the modelling of some novel ferroelectric based devices, with an emphasis on energy efficiency and on applications to new computational paradigms.
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