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Abstract / Description of output
The multistate capabilities as well as the intrinsic integrating properties of memristors deem them suitable candidates for the realization of novel neuromorphic applications. To date, much of their prestige arises mostly from the versatility that is promised by the nonvolatile device families. However, memristors also exhibit volatile characteristics, which for as long as they remain unknown, will hinder their integration to large-scale applications. In this article, we present a comprehensive study for characterizing the relaxation dynamics of TiOx resistive RAM (RRAM) devices within a predefined volatility framework. These dynamics are tightly linked to the total energy of stimulation, and device relaxation can be accurately described using simple mathematical models. Moreover, we show that RRAM volatility is bidirectional and that relaxation time constants heavily depend on the level of invasiveness caused by programming stimulation. Our work further includes a demonstration of how volatility can be characterized within a specific time window. Moreover, our protocol can be altered to fit the specific needs of potential applications. We anticipate that the universality of our method can act as a stepping stone toward the understanding and modeling of volatile memristors across different technologies and materials, enabling the realization of a new family of time-related applications.
Original language | English |
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Article number | 9198108 |
Pages (from-to) | 5158-5165 |
Number of pages | 8 |
Journal | IEEE Transactions on Electron Devices |
Volume | 67 |
Issue number | 11 |
Early online date | 15 Sept 2020 |
DOIs | |
Publication status | Published - Nov 2020 |
Keywords / Materials (for Non-textual outputs)
- Characterization
- memristors
- resistive RAM (RRAM)
- volatility
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Dive into the research topics of 'Bidirectional Volatile Signatures of Metal-Oxide Memristors-Part I: Characterization'. Together they form a unique fingerprint.Projects
- 1 Finished
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FORTE: Functional Oxide Reconfigurable Technologies (FORTE): A Programme Grant
Prodromakis, T., Constandinou, T. G., Dudek, P., Koch, D. & Papavassiliou, C.
1/05/22 → 30/09/23
Project: Research