Direct Observation of Nanoscale Polarization Switching in HZO Ferroelectrics Using STEM-EBIC

We report the experimental observation of discrete ferroelectric switching down to 0.475 nm × 0.475 nm in HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>-based ferroelectrics using correlated STEM electron beam induced current (EBIC) imaging and nanoscale voltage pulsing. These high-resolution measurements reveal single-domain switching events characterized by abrupt, bi-state transitions with no intermediate polarization states. By mapping polarization–voltage behavior and switching kinetics across thousands of domains, we extract spatially resolved switching thresholds (Emin), switching speeds (tsw), and remanent polarization (2Pr), uncovering robust scaling trends. Larger domains exhibit nearly twice the polarization and faster switching despite higher Emin, while smaller domains switch more slowly at the same field. Sub-domain imaging enables quantification of variation scaling: polarization variation increases linearly logarithmically with area, with inter-domain variation dominating intra-domain variation. Importantly, we show that multi-bit operation arises from the statistical distribution of domain-level switching—rather than partial polarization—enabling distinct and reliable states in devices as small as 0.01 μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. These findings provide a foundational experimental framework for designing scalable, multibit ferroelectric memory based on grain- and domain-level heterogeneity.

Authors

Institutions

Publication Details

Published
2025-12-06
DOI
https://doi.org/10.1109/iedm50572.2025.11353770
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

Direct Observation of Nanoscale Polarization Switching in HZO Ferroelectrics Using STEM-EBIC

Tristan P O’Neill, Luca Larcher, Yueyun Chen, William A. Hubbard et al.
Ferroelectric and Negative Capacitance Devices
article

Direct Observation of Nanoscale Polarization Switching in HZO Ferroelectrics Using STEM-EBIC

Tristan P O’Neill, Luca Larcher, Yueyun Chen, William A. Hubbard, B. C. Regan, Megan K. Lenox, Gaurav Thareja, Ho Leung Chan, Andrea Padovani, Priyankka Gundlapudi Ravikumar, Shimeng Yu, Zekai Wang, Prasanna Venkatesan, Hari Jayasankar, Wanki Kim, Daewon Ha, Shelby Sutton Fields, Jon F. Ihlefeld, Asif Khan
article en

Abstract

We report the experimental observation of discrete ferroelectric switching down to 0.475 nm × 0.475 nm in HfO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>-based ferroelectrics using correlated STEM electron beam induced current (EBIC) imaging and nanoscale voltage pulsing. These high-resolution measurements reveal single-domain switching events characterized by abrupt, bi-state transitions with no intermediate polarization states. By mapping polarization–voltage behavior and switching kinetics across thousands of domains, we extract spatially resolved switching thresholds (Emin), switching speeds (tsw), and remanent polarization (2Pr), uncovering robust scaling trends. Larger domains exhibit nearly twice the polarization and faster switching despite higher Emin, while smaller domains switch more slowly at the same field. Sub-domain imaging enables quantification of variation scaling: polarization variation increases linearly logarithmically with area, with inter-domain variation dominating intra-domain variation. Importantly, we show that multi-bit operation arises from the statistical distribution of domain-level switching—rather than partial polarization—enabling distinct and reliable states in devices as small as 0.01 μm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. These findings provide a foundational experimental framework for designing scalable, multibit ferroelectric memory based on grain- and domain-level heterogeneity.

Georgia Institute of Technology (US), UniCredit (Italy) (IT), University of California, Los Angeles (US), Applied Materials (United States) (US), Samsung (South Korea) (KR), BioElectronics (United States) (US), University of Virginia (US)
Openalex Percentile: Top 37%
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.