Abstract
In a recent publication (Yi et al. 2011) elucidating a possible scheme to write information reliably onto a memory crossbar, Hewlett Packard Labs researchers employed a thyristor-based circuit to emulate the off-to-on switching behaviour of a titanium oxide memristor. The use of a thyristor device allowed them to test inexpensively and reliably the functionalities of the closed-loop crossbar write circuitry by using conventional CMOS components. From a device modeling point of view, however, it is worthy to point out that the aforementioned emulator is not a genuine memristor. The aim of this paper is to demonstrate with an in-depth mathematical analysis that the model of the thyristor does not fall into the class of memristors. The modelling approach adopted in this work may be a source of inspiration for researchers willing to check whether other devices or circuits may be classified as memristors.
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Notes
- 1.
Under quasi-static excitation, the voltage across the device is a single-valued function of the current through it.
- 2.
- 3.
Let us assume that the two terminals of a one-port made up of arbitrary linear and nonlinear circuit elements, as well as voltage and current sources, are closed onto a current-controlled memristor device. The waveform of the voltage v(t) associated with the current i(t) of any admissible signal pair (i(t), v(t)) measured from this circuit set-up must cross the time axis whenever \(i=0\). This property of a current-controlled memristor is known as coincident zero-crossing signature (Chua 2015).
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Acknowledgements
The support from EU COST Action IC1401 and Czech Science Foundation (grant no. \(14-19865\)S) are acknowledged. We also thank the Deutsche Forschung Gesellschaft (DFG) for their financial contribution to the research project “Locally active memristive data processing (LAMP)” under grant number \(TE 257/22-1\). L. Chua’s research is supported by AFOSR Grant FA 9550-13-1-0136.
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Ascoli, A., Tetzlaff, R., Chua, L.O., Yi, W., Williams, R.S. (2017). Memristor Emulators: A Note on Modeling. In: Vaidyanathan, S., Volos, C. (eds) Advances in Memristors, Memristive Devices and Systems. Studies in Computational Intelligence, vol 701. Springer, Cham. https://doi.org/10.1007/978-3-319-51724-7_1
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