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-time 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.

• Received 18 March 2024
• Revised 17 May 2024
• Accepted 28 June 2024

DOI:https://doi.org/10.1103/PhysRevApplied.22.014057

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Condensed Matter, Materials & Applied PhysicsStatistical Physics & Thermodynamics