Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations
arxiv(2024)
摘要
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
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.
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