Ferroelectric Al<sub>1‐x</sub>Sc<sub>x</sub>N Opposite State Retention Model Based on Switching Dynamics

Abstract Wurtzite‐structured ferroelectrics, such as aluminum scandium nitride (Al 1‐x Sc x N), are among the most promising candidates for implementing innovative nonvolatile memory concepts into commercial technologies. However, the opposite state (OS) retention limits the long‐term retention performances. Since verifying the retention requirement directly up to 10 years, as typically targeted by commercial technologies, is timely unfeasible, developing a model to predict the 10‐year OS retention performances of wurtzite‐structured ferroelectrics is of the utmost importance for validating their reliable long‐term operation. This work demonstrates the imprint as the primary factor in determining the Al 1‐x Sc x N OS retention performances. A model to predict the 10‐year OS retention performances of Al 1‐x Sc x N is developed by directly correlating the coercive field (E c ) increase with the slowing down of the switching dynamics through the relationship between the characteristic switching time and applied electric field magnitude to E c ratio (E/E c ). The model is verified with OS retention measurements performed on Al 0.85 Sc 0.15 N capacitors after baking for up to 2 weeks at 150 °C. The E/E c that guarantees reliable 10‐year OS retention performances is extrapolated for pulse widths down to the nanosecond range. Finally, electric field switching cycling is proven as a viable strategy for recovering from the imprint that degrades OS retention performances.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-03-06
DOI
https://doi.org/10.1002/adfm.202421793
Citations
7
Primary Topic
Acoustic Wave Resonator Technologies
Type
article
Field-Weighted Citation Impact
4.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ferroelectric Al1‐xScxN Opposite State Retention Model Based on Switching Dynamics

Thomas Mikolajick, Simon Fichtner, Uwe Schroeder, Roberto Guido et al.
7 citations
Advanced Functional Materials
Acoustic Wave Resonator Technologies
4.72
article

Ferroelectric Al1‐xScxN Opposite State Retention Model Based on Switching Dynamics

Thomas Mikolajick, Simon Fichtner, Uwe Schroeder, Roberto Guido, Maike Gremmel
article en
7 citations

Abstract

Abstract Wurtzite‐structured ferroelectrics, such as aluminum scandium nitride (Al 1‐x Sc x N), are among the most promising candidates for implementing innovative nonvolatile memory concepts into commercial technologies. However, the opposite state (OS) retention limits the long‐term retention performances. Since verifying the retention requirement directly up to 10 years, as typically targeted by commercial technologies, is timely unfeasible, developing a model to predict the 10‐year OS retention performances of wurtzite‐structured ferroelectrics is of the utmost importance for validating their reliable long‐term operation. This work demonstrates the imprint as the primary factor in determining the Al 1‐x Sc x N OS retention performances. A model to predict the 10‐year OS retention performances of Al 1‐x Sc x N is developed by directly correlating the coercive field (E c ) increase with the slowing down of the switching dynamics through the relationship between the characteristic switching time and applied electric field magnitude to E c ratio (E/E c ). The model is verified with OS retention measurements performed on Al 0.85 Sc 0.15 N capacitors after baking for up to 2 weeks at 150 °C. The E/E c that guarantees reliable 10‐year OS retention performances is extrapolated for pulse widths down to the nanosecond range. Finally, electric field switching cycling is proven as a viable strategy for recovering from the imprint that degrades OS retention performances.

Advanced Functional MaterialsVol. 35(31)
Christian-Albrechts-Universität zu Kiel (DE), Fraunhofer Institute for Silicon Technology (DE), NaMLab (Germany) (DE), Technische Universität Dresden (DE)
European Commission, Deutsche Forschungsgemeinschaft
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Acoustic Wave Resonator Technologies
4.72
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.