Stanford Model Parameter Fitting Of Experimental I-V Curves Using A Genetic Algorithm
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Since its introduction, the Stanford model has been one of the most widely adopted memristor models. Including the effect of the series resistance, the model features nine parameters that can be tuned to reproduce experimental results. However, manual fitting of these parameters is often tedious and imprecise.