Measurement-driven Langevin modeling of superparamagnetic tunnel junctions
arxiv(2024)
摘要
Superparamagnetic tunnel junctions are important devices for a range of
emerging technologies, but most existing compact models capture only their mean
switching rates. Capturing qualitatively accurate analog dynamics of these
devices will be important as the technology scales up. Here we present results
using a one-dimensional overdamped Langevin equation that captures statistical
properties of measured time traces, including voltage histograms, drift and
diffusion characteristics as measured with Kramers-Moyal coefficients, and
dwell times distributions. While common macrospin models are more
physically-motivated magnetic models than the Langevin model, we show that for
the device measured here, they capture even fewer of the measured experimental
behaviors.
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