A computational study of hafnia-based ferroelectric memories: from ab initio via physical modeling to circuit models of ferroelectric device
Milan Pe\v{s}i\'c, Christopher K\"unneth, Michael Hoffmann, Halid, Mulaosmanovic, Stefan M\"uller, Evelyn T. Breyer, Uwe Schroeder, Alfred, Kersch, Thomas Mikolajick, Stefan Slesazeck

TL;DR
This paper presents a comprehensive modeling framework for hafnia-based ferroelectric memories, linking ab initio, physical, and circuit models to understand device behavior and guide future design.
Contribution
It introduces a holistic modeling approach that connects physical mechanisms to circuit-level models for hafnia-based ferroelectric memories, aiding device understanding and development.
Findings
Physical modeling of ferroelectric phase stabilization.
Analysis of multilevel operation and switching kinetics.
Development of a circuit model for device implementation.
Abstract
The discovery of ferroelectric properties of binary oxides revitalized the interest in ferroelectrics and bridged the scaling gap between the state-of-the-art semiconductor technology and ferroelectric memories. However, before hitting the markets, the origin of ferroelectricity and in-depth studies of device characteristics are needed. Establishing a correlation between the performance of the device and underlying physical mechanisms is the first step toward understanding the device and engineering guidelines for a novel, superior device. Therefore, in this paper a holistic modeling approaches which lead to a better understanding of ferroelectric memories based on hafnium and zirconium oxide is addressed. Starting from describing the stabilization of the ferroelectric phase within the binary oxides via physical modeling the physical mechanisms of the ferroelectric devices are reviewed.…
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