Domain wall (DW) devices have garnered recent interest for diverse applications including memory, logic, and neuromorphic primitives; fast, accurate device models are therefore imperative for large-scale system design and verification. Extant DW motion models are sub-optimal for large-scale system design either over-consuming compute resources with physics-heavy equations or oversimplifying the physics, drastically reducing model accuracy. We propose a DW model inspired by the phenomenological similarities between motions of a DW and a classical object being acted on by forces like air resistance or static friction. Our proposed phenomenological model predicts DW motion within 1.2% on average compared with micromagnetic simulations that are 400 times slower. Additionally our model is seven times faster than extant collective coordinate models and 14 times more accurate than extant hyper-reduced models making it an essential tool for large-scale DW circuit design and simulation. The model is publicly posted along with scripts that automatically extract model parameters from user-provided simulation or experimental data to extend the model to alternative micromagnetic parameters.
@article{arxiv.2406.00225,
title = {Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations},
author = {Kristi Doleh and Leonard Humphrey and Chandler M. Linseisen and Michael D. Kitcher and Joanna M. Martin and Can Cui and Jean Anne C. Incorvia and Felipe Garcia-Sanchez and Naimul Hassan and Alexander J. Edwards and Joseph S. Friedman},
journal= {arXiv preprint arXiv:2406.00225},
year = {2024}
}