Analysis of the Voltage Ramp Rate Effects on the Programming Characteristics of Bipolar-Type Memristive Devices

We investigate in this letter the role the voltage ramp rate plays in the conduction and programming characteristics of bipolar-type memristive devices. It is shown that speeding up the writing or erasing process of a memristor is beneficial in terms of energy consumption but has a side cost associated with power dissipation. This happens because of the dynamical aspects of the set and reset transitions which are ultimately dictated by the physics of metal ions and oxygen vacancies migration. It is shown that by adding a constant base voltage to the voltage sweep, shorter programming times can be achieved but no significant impact on the power dissipation-energy consumption relationship is observed. Modeling and simulations are carried out with the aid of the Dynamic Memdiode Model and its implementation in LTspice using the Method of Elementary Solvers. Since the device model parameters and simulation conditions can vary in a wide range, the complete schematics are provided so that the interested readers can test different casuistries by themselves.

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Publication Details

Journal
IEEE Transactions on Nanotechnology
Published
2025-01-01
DOI
https://doi.org/10.1109/tnano.2025.3556856
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis of the Voltage Ramp Rate Effects on the Programming Characteristics of Bipolar-Type Memristive Devices

T. Oster, Eszter Piros, J. Gehrunger, Tobias Schwarz et al.
3 links
IEEE Transactions on Nanotechnology
Advanced Memory and Neural Computing
article

Analysis of the Voltage Ramp Rate Effects on the Programming Characteristics of Bipolar-Type Memristive Devices

T. Oster, Eszter Piros, J. Gehrunger, Tobias Schwarz, E. Miranda, Philipp Schreyer, J. Suñé, Klaus Hofmann, Lambert Alff, C. Hochberger, Fernando Aguirre, Taemin Kim
article en

Abstract

We investigate in this letter the role the voltage ramp rate plays in the conduction and programming characteristics of bipolar-type memristive devices. It is shown that speeding up the writing or erasing process of a memristor is beneficial in terms of energy consumption but has a side cost associated with power dissipation. This happens because of the dynamical aspects of the set and reset transitions which are ultimately dictated by the physics of metal ions and oxygen vacancies migration. It is shown that by adding a constant base voltage to the voltage sweep, shorter programming times can be achieved but no significant impact on the power dissipation-energy consumption relationship is observed. Modeling and simulations are carried out with the aid of the Dynamic Memdiode Model and its implementation in LTspice using the Method of Elementary Solvers. Since the device model parameters and simulation conditions can vary in a wide range, the complete schematics are provided so that the interested readers can test different casuistries by themselves.

IEEE Transactions on NanotechnologyVol. 24
Universitat Autònoma de Barcelona (ES), Technische Universität Darmstadt (DE)
Merck KGaA, Ministerio de Ciencia e Innovación
Affordable and clean energy
Openalex Percentile: Top 95%
Advanced Memory and Neural Computing
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