A second-order numerical method for Landau-Lifshitz-Gilbert equation with large damping parameters
Yongyong Cai, Jingrun Chen, Cheng Wang, Changjian Xie

TL;DR
This paper introduces a second-order accurate, efficient, and unconditionally stable numerical scheme for the Landau-Lifshitz-Gilbert equation with large damping parameters, enabling reliable simulations of magnetization dynamics.
Contribution
It presents a novel second-order scheme that solves linear systems with constant coefficients, significantly improving efficiency and stability for large damping parameters in magnetization modeling.
Findings
The method achieves second-order accuracy in time.
It is unconditionally stable for large damping parameters.
Numerical examples confirm physical realism and efficiency.
Abstract
A second order accurate numerical scheme is proposed and implemented for the Landau-Lifshitz-Gilbert equation, which models magnetization dynamics in ferromagnetic materials, with large damping parameters. The main advantages of this method are associated with the following features: (1) It only solves linear systems of equations with constant coefficients where fast solvers are available, so that the numerical efficiency has been greatly improved, in comparison with the existing Gauss-Seidel project method. (2) The second-order accuracy in time is achieved, and it is unconditionally stable for large damping parameters. Moreover, both the second-order accuracy and the great efficiency improvement will be verified by several numerical examples in the 1D and 3D simulations. In the presence of large damping parameters, it is observed that this method is unconditionally stable and finds…
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