Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations
<|reference_start|>Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations: 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.<|reference_end|>
@article{doleh2024kinematic,
    title={Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy
  Simulations},
    author={Kristi Doleh, Leonard Humphrey, Chandler M. Linseisen, Michael D.
  Kitcher, Joanna M. Martin, Can Cui, Jean Anne C. Incorvia, Felipe
  Garcia-Sanchez, Naimul Hassan, Alexander J. Edwards, Joseph S. Friedman},
    journal={arXiv preprint arXiv:2406.00225},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.00225},
    primaryClass={cs.ET cond-mat.mes-hall}
}