Variability in Ferroelectric Hf<sub>0.5</sub>Zr<sub>0.5</sub>O<sub>2</sub>: Physical Insights and Implications for Memory Applications

Ferroelectric (FE) hafnium-zirconium-oxide (Hf<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</inf> Zr<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</inf> O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> or HZO) is a promising candidate for next-generation electronics [1]. However, device-to-device variations in HZO remain a key challenge [1, 2]. Addressing this issue requires analyzing the interplay between polycrystallinity, multi-domain (MD) polarization switching and other HZO attributes [1, 2]. HZO exhibits an anisotropic crystal structure [3, 4], with alternating polar-spacer layers (APSL) in one lateral direction and continuous polar layers (CPL) in the other (Fig. 1a). This anisotropy affects polarization (P) domain formation [3] and leads to direction-dependent MD switching [4], which, in turn, affects variability in HZO. This work presents the physical insights into the mechanisms governing variability in HZO accounting for such unique attributes. We begin with first-principles simulations to provide atomic-scale insights. These findings are utilized to study metal-ferroelectric-insulator-metal (MFIM) capacitors using 3D phase-field simulations and analyze variability across different ferroelectric thicknesses ($T_{F E}$) and set voltages ($V_{S E T}$). Finally, we present how these variability trends affect the trade-offs between distinguishability of binary states and energy consumption for the SET operation in FE memories.

Authors

Institutions

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/drc66027.2025.11105731
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variability in Ferroelectric Hf0.5Zr0.5O2: Physical Insights and Implications for Memory Applications

Sumeet Kumar Gupta, Revanth Koduru, Tanmoy Kumar Paul
4 links
Ferroelectric and Negative Capacitance Devices
article

Variability in Ferroelectric Hf0.5Zr0.5O2: Physical Insights and Implications for Memory Applications

Sumeet Kumar Gupta, Revanth Koduru, Tanmoy Kumar Paul
article en

Abstract

Ferroelectric (FE) hafnium-zirconium-oxide (Hf<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</inf> Zr<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0.5</inf> O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> or HZO) is a promising candidate for next-generation electronics [1]. However, device-to-device variations in HZO remain a key challenge [1, 2]. Addressing this issue requires analyzing the interplay between polycrystallinity, multi-domain (MD) polarization switching and other HZO attributes [1, 2]. HZO exhibits an anisotropic crystal structure [3, 4], with alternating polar-spacer layers (APSL) in one lateral direction and continuous polar layers (CPL) in the other (Fig. 1a). This anisotropy affects polarization (P) domain formation [3] and leads to direction-dependent MD switching [4], which, in turn, affects variability in HZO. This work presents the physical insights into the mechanisms governing variability in HZO accounting for such unique attributes. We begin with first-principles simulations to provide atomic-scale insights. These findings are utilized to study metal-ferroelectric-insulator-metal (MFIM) capacitors using 3D phase-field simulations and analyze variability across different ferroelectric thicknesses ($T_{F E}$) and set voltages ($V_{S E T}$). Finally, we present how these variability trends affect the trade-offs between distinguishability of binary states and energy consumption for the SET operation in FE memories.

Purdue University West Lafayette (US)
Openalex Percentile: Top 81%
Ferroelectric and Negative Capacitance Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.