The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The elusive memristor: properties of basic electrical circuits
Open accessAbstract
We present an introduction to and a tutorial on the properties of the recently discovered ideal circuit element, a memristor. By definition, a memristor M relates the charge q and the magnetic flux ϕ in a circuit and complements a resistor R , a capacitor C and an inductor L as an ingredient of ideal electrical circuits. The properties of these three elements and their circuits are a part of the standard curricula. The existence of the memristor as the fourth ideal circuit element was predicted in 1971 based on symmetry arguments, but was clearly experimentally demonstrated just last year. We present the properties of a single memristor, memristors in series and parallel, as well as ideal memristor–capacitor (MC), memristor–inductor (ML) and memristor–capacitor–inductor (MCL) circuits. We find that the memristor has hysteretic current–voltage characteristics. We show that the ideal MC (ML) circuit undergoes non-exponential charge (current) decay with two time scales and that by switching the polarity of the capacitor, an ideal MCL circuit can be tuned from overdamped to underdamped. We present simple models which show that these unusual properties are closely related to the memristor's internal dynamics. This tutorial complements the pedagogy of ideal circuit elements ( R , C and L ) and the properties of their circuits, and is aimed at undergraduate physics and electrical engineering students.
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Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,828
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268
Memristive devices and systems
Chua, L. O., & Kang, S. M. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10092 · Cited by 2,604
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Device modeling via nonlinear circuit elements
Chua, L. (1980) · IEEE Transactions on Circuits and Systems · doi:10.1109/tcs.1980.1084742 · Cited by 277
Cited by
Memory effects in complex materials and nanoscale systems
Pershin, Y. V., & Di Ventra, M. (2011) · Advances In Physics · doi:10.1080/00018732.2010.544961 · Cited by 823
Practical Approach to Programmable Analog Circuits With Memristors
Pershin, Y. V., & Di Ventra, M. (2010) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2009.2038539 · Cited by 639
Memristor Bridge Synapse-Based Neural Network and Its Learning
Adhikari, S. P., Yang, C., Kim, H., & Chua, L. O. (2012) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2012.2204770 · Cited by 386
Neuromemristive Circuits for Edge Computing: A Review
Krestinskaya, O., James, A. P., & Chua, L. O. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2899262 · Cited by 319
Kim, H., Sah, M. P., Yang, C., Roska, T., & Chua, L. O. (2012) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2166749 · Cited by 290
Metadata
- Authors
- Joglekar, Y. N., & Wolf, S. J.
- Venue
- European Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2009-05-05
- Volume
- 30
- Issue
- 4
- Pages
- 661-675
- ISSN
- 0143-0807 (ISSN-L)
- 1361-6404
- OpenAlex
- W2153690880
- Cited by
- 817
- References
- 5
- FWCI
- 26.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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