Statistical, simulation and modeling analysis of variability in memristors with single and bilayer dielectrics of HfO2 and Al2O3, a comparison

Variability is a key aspect of memristors that hinders their usage in massive commercial applications. This study investigates the cycle-to-cycle variability of resistive switching devices fabricated using three different dielectric configurations: two monolayer insulators (Al 2 O 3 or HfO 2 ) or a HfO 2 /Al 2 O 3 bilayer. Thousands of resistive switching (RS) current-voltage (I-V) curves were measured under ramped voltage stress and the RS parameters were extracted using different numerical methodologies. The variability of the obtained RS parameters was analyzed using the conventional 1D coefficient of variation (σ/μ, where σ stands for the standard deviation and μ for the mean), as well as a recently introduced 2D coefficient of variation, providing a deeper insight into the joined variability of the switching voltages and currents. An enhanced version of the Stanford compact model was employed to model the experimental I-V curves, in addition to an analysis based on a 3D circuit breaker (CB) simulator, which incorporates thermal effects for controlling the switching of the CB. These two modeling approaches successfully captured the observed RS behavior and variability trends along the thousands of measured cycles and for the three considered technologies. Furthermore, the simulation study sheds light on how the different thermal properties of the studied technologies impact on the conductive filament evolution. • Variability is studied in memristors with HfO2, Al2O3 oxides. • An advanced statistical analysis is performed to study variability. • Compact modeling is employed to characterize the measurements. • A 3D simulator based in circuit breakers is used for the study. • Memristors with a bilayer of HfO 2 and Al 2 O 3 have less variability.

Authors

Institutions

Publication Details

Journal
Chaos Solitons & Fractals
Published
2025-03-26
DOI
https://doi.org/10.1016/j.chaos.2025.116352
Citations
6
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
4.38

Funders

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

Statistical, simulation and modeling analysis of variability in memristors with single and bilayer dielectrics of HfO2 and Al2O3, a comparison

J.B. Roldán, Marco Antonio Villena, F. Jiménez-Molinos, Mireia Bargalló González et al.
6 citations
Chaos Solitons & Fractals
Advanced Memory and Neural Computing
4.38
article

Statistical, simulation and modeling analysis of variability in memristors with single and bilayer dielectrics of HfO2 and Al2O3, a comparison

J.B. Roldán, Marco Antonio Villena, F. Jiménez-Molinos, Mireia Bargalló González, Paloma García-Villanova Ruiz, A. Cantudo, F. Campabadal, Antonio López
article en
6 citations

Abstract

Variability is a key aspect of memristors that hinders their usage in massive commercial applications. This study investigates the cycle-to-cycle variability of resistive switching devices fabricated using three different dielectric configurations: two monolayer insulators (Al 2 O 3 or HfO 2 ) or a HfO 2 /Al 2 O 3 bilayer. Thousands of resistive switching (RS) current-voltage (I-V) curves were measured under ramped voltage stress and the RS parameters were extracted using different numerical methodologies. The variability of the obtained RS parameters was analyzed using the conventional 1D coefficient of variation (σ/μ, where σ stands for the standard deviation and μ for the mean), as well as a recently introduced 2D coefficient of variation, providing a deeper insight into the joined variability of the switching voltages and currents. An enhanced version of the Stanford compact model was employed to model the experimental I-V curves, in addition to an analysis based on a 3D circuit breaker (CB) simulator, which incorporates thermal effects for controlling the switching of the CB. These two modeling approaches successfully captured the observed RS behavior and variability trends along the thousands of measured cycles and for the three considered technologies. Furthermore, the simulation study sheds light on how the different thermal properties of the studied technologies impact on the conductive filament evolution. • Variability is studied in memristors with HfO2, Al2O3 oxides. • An advanced statistical analysis is performed to study variability. • Compact modeling is employed to characterize the measurements. • A 3D simulator based in circuit breakers is used for the study. • Memristors with a bilayer of HfO 2 and Al 2 O 3 have less variability.

Chaos Solitons & FractalsVol. 196
Universidad de Granada (ES), Institut de Microelectrònica de Barcelona (ES)
Ministerio de Ciencia, Innovación y Universidades, European Commission, Generalitat de Catalunya, Agència de Gestió d'Ajuts Universitaris i de Recerca, Consejo Superior de Investigaciones Científicas, European Regional Development Fund, Agencia Estatal de Investigación, European Social Fund
Affordable and clean energy
Openalex Percentile: Top 6%
Advanced Memory and Neural Computing
4.38
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.