The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
VTEAM: A General Model for Voltage-Controlled Memristors
Abstract
Memristors are novel electrical devices used for a variety of applications, including memory, logic circuits, and neuromorphic systems. Memristive technologies are attractive due to their nonvolatility, scalability, and compatibility with CMOS. Numerous physical experiments have shown the existence of a threshold voltage in some physical memristors. Additionally, as shown in this brief, some applications require voltage-controlled memristors to operate properly. In this brief, a Voltage ThrEshold Adaptive Memristor (VTEAM) model is proposed to describe the behavior of voltage-controlled memristors. The VTEAM model extends the previously proposed ThrEshold Adaptive Memristor (TEAM) model, which describes current-controlled memristors. The VTEAM model has similar advantages as the TEAM model, i.e., it is simple, general, and flexible, and can characterize different voltage-controlled memristors. The VTEAM model is accurate (below 1.5% in terms of the relative root-mean-square error) and computationally efficient as compared with existing memristor models and experimental results describing different memristive technologies.
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Cites
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Cited by
Kvatinsky, S., Belousov, D., Liman, S., Satat, G., Wald, N., Friedman, E. G., Kolodny, A., & Weiser, U. C. (2014) · IEEE Transactions on Circuits and Systems II: Express Briefs · doi:10.1109/tcsii.2014.2357292 · Cited by 835
Self-citationBrain-inspired computing with memristors: Challenges in devices, circuits, and systems
Zhang, Y., Wang, Z., Zhu, J., Yang, Y., Rao, M., Song, W., Zhuo, Y., Zhang, X., Cui, M., Shen, L., et al. (2020) · Applied Physics Reviews · doi:10.1063/1.5124027 · Cited by 384
Logic Design Within Memristive Memories Using Memristor-Aided loGIC (MAGIC)
Talati, N., Gupta, S., Mane, P., & Kvatinsky, S. (2016) · IEEE Transactions on Nanotechnology · doi:10.1109/tnano.2016.2570248 · Cited by 339
Self-citationThe case for rejecting the memristor as a fundamental circuit element
Abraham, I. (2018) · Scientific Reports · doi:10.1038/s41598-018-29394-7 · Cited by 95
SearcHD: A Memory-Centric Hyperdimensional Computing With Stochastic Training
Imani, M., Yin, X., Messerly, J., Gupta, S., Niemier, M., Hu, X. S., & Rosing, T. (2020) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · doi:10.1109/tcad.2019.2952544 · Cited by 87
Metadata
- Authors
- Kvatinsky, S., Ramadan, M., Friedman, E. G., & Kolodny, A.
- Venue
- IEEE Transactions on Circuits and Systems II: Express Briefs
- Published
- 2015-08
- Volume
- 62
- Issue
- 8
- Pages
- 786-790
- ISSN
- 1549-7747 (ISSN-L)
- 1558-3791
- OpenAlex
- W1578783943
- Cited by
- 838
- References
- 5
- FWCI
- 22.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- Hasso Plattner Institute
- Advanced Circuit Research Center of the Technion Israel Institute of Technology
- Intel Collaborative Research Institute for Computational Intelligence
- Binational Science Foundation (2012139)
- Viterbi Fellowship
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