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arXiv · 2009.05189

Modeling networks of probabilistic memristors in SPICE

V. J. Dowling·V. A. Slipko·Y. V. Pershin
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Abstract

Efficient simulation of probabilistic memristors and their networks requires novel modeling approaches. One major departure from the conventional memristor modeling is based on a master equation for the occupation probabilities of network states [arXiv:2003.11011 (2020)]. 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 ac-driven 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 codes are included.

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V. J. Dowling, V. A. Slipko, Y. V. Pershin. 2020-09-11. Modeling networks of probabilistic memristors in SPICE. https://doi.org/10.13164/re.2021.0157

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