Modeling Networks of Probabilistic Memristors in SPICE
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Date
2021-04
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Mark
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Společnost pro radioelektronické inženýrství
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Abstract
Efficient simulation of stochastic memristors and their networks requires novel modeling approaches. Utilizing a master equation to find occupation probabilities of network states is a recent major departure from typical memristor modeling [Chaos, solitons fractals 142, 110385 (2021)]. In the present article we show how to implement such master equations in SPICE – a general purpose circuit simulation program. In the case studies we simulate the dynamics of acdriven probabilistic binary and multi-state memristors, and dc-driven networks of probabilistic binary and multi-state memristors. Our SPICE results are in perfect agreement with known analytical solutions. Examples of LTspice code are included.
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Citation
Radioengineering. 2021 vol. 30, č. 1, s. 157-163. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2021/21_01_0157_0163.pdf
https://www.radioeng.cz/fulltexts/2021/21_01_0157_0163.pdf
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Peer-reviewed
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en