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• W3179456589 abstract "The performance of numerical micromagnetic models is limited by the demagnetizing field computation, which typically accounts for the majority of the computation time. For magnetization dynamics simulations, explicit evaluation methods are in common use. Higher-order methods call for the evaluation of all effective field terms, including the demagnetizing field, at all sub-steps. Here, a general method of speeding up such explicit evaluation methods is discussed by skipping the demagnetizing field computation at sub-steps, and instead approximating it using polynomial extrapolation based on stored previous exact computations. This approach is tested for a large number of explicit evaluation methods, both adaptive and fixed time-step, ranging from second-order up to fifth-order. The polynomial approximation order should be matched to the evaluation method order. In this case, we show higher-order methods with polynomial extrapolation are more accurate than lower-order methods with a full evaluation of the demagnetizing field. Moreover, for higher-order methods, we show it is possible to achieve a factor of 2 or more computation speedup with no decrease in solution accuracy." @default.
• W3179456589 created "2021-07-19" @default.
• W3179456589 creator A5070638483 @default.
• W3179456589 date "2022-05-01" @default.
• W3179456589 modified "2023-10-18" @default.
• W3179456589 title "Speeding Up Explicit Numerical Evaluation Methods for Micromagnetic Simulations Using Demagnetizing Field Polynomial Extrapolation" @default.
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• W3179456589 doi "https://doi.org/10.1109/tmag.2022.3159849" @default.
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