NIST - National Institute of Standards and Technology
03/19/2024 | Press release | Archived content
Measurement-driven Langevin modeling of superparamagnetic tunnel junctions
Published
March 19, 2024
Author(s)
Liam Pocher, Temitayo Adeyeye, Sidra Gibeault, Philippe Talatchian, Ursula Ebels, Daniel Lathrop, Jabez J. McClelland, Mark Stiles, Advait Madhavan, Matthew Daniels
Abstract
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.
Citation
Physical Review Applied
Pub Type
Journals
Citation
Pocher, L. , Adeyeye, T. , Gibeault, S. , Talatchian, P. , Ebels, U. , Lathrop, D. , McClelland, J. , Stiles, M. , Madhavan, A. and Daniels, M. (2024), Measurement-driven Langevin modeling of superparamagnetic tunnel junctions, Physical Review Applied (Accessed March 21, 2024)