2024/05/31 by Kristi Doleh, Doleh, Kristi, Leonard Humphrey +19
Engineering · Materials Science · #Electric Motor Design and Analysis #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Magnetic Properties and Applications #Magnetic Properties of Alloys #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
paper · pdf · doi:10.48550/arxiv.2406.00225
openalex publication_date 2024/05/31 · openalex created_date 2024/06/06 · openalex updated_date 2026/07/28
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.