An Efficient and Accurate Adaptive Time-Stepping Method for the Landau–Lifshitz Equation

This article presents an efficient and accurate adaptive time-stepping finite difference method (FDM) for solving the Landau–Lifshitz (LL) equation, which is an important mathematical model in understanding magnetic materials and processes. Our proposed algorithm strategically selects an adaptive time step, ensuring that the maximum displacement falls within a predefined tolerance threshold. Furthermore, this adaptive approach allows the utilization of larger time steps near equilibrium states and results in faster computations. For example, we introduce a numerical test where the adaptive time step decreases from 3.05×10−7 to 3.52×10−9. If a uniform time step is applied, around a 100 times smaller time step must be applied at unnecessary cases. To demonstrate the high performance of our proposed algorithm, we conduct several characteristic benchmark tests. The computational results confirm that the proposed algorithm is efficient and accurate. Overall, our adaptive time-stepping FDM offers a promising solution for accurately and efficiently solving the LL equation and contributes to advancements in the understanding and analysis of magnetic phenomena.

Authors

Institutions

Publication Details

Journal
Algorithms
Published
2024-12-26
DOI
https://doi.org/10.3390/a18010001
Citations
3
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
2.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Efficient and Accurate Adaptive Time-Stepping Method for the Landau–Lifshitz Equation

Hyundong Kim, Seokjun Ham, Soobin Kwak, Moumni Mohammed et al.
3 citations
Algorithms
Numerical methods for differential equations
2.20
article

An Efficient and Accurate Adaptive Time-Stepping Method for the Landau–Lifshitz Equation

Hyundong Kim, Seokjun Ham, Soobin Kwak, Moumni Mohammed, Junseok Kim, Seungyoon Kang
article en
3 citations

Abstract

This article presents an efficient and accurate adaptive time-stepping finite difference method (FDM) for solving the Landau–Lifshitz (LL) equation, which is an important mathematical model in understanding magnetic materials and processes. Our proposed algorithm strategically selects an adaptive time step, ensuring that the maximum displacement falls within a predefined tolerance threshold. Furthermore, this adaptive approach allows the utilization of larger time steps near equilibrium states and results in faster computations. For example, we introduce a numerical test where the adaptive time step decreases from 3.05×10−7 to 3.52×10−9. If a uniform time step is applied, around a 100 times smaller time step must be applied at unnecessary cases. To demonstrate the high performance of our proposed algorithm, we conduct several characteristic benchmark tests. The computational results confirm that the proposed algorithm is efficient and accurate. Overall, our adaptive time-stepping FDM offers a promising solution for accurately and efficiently solving the LL equation and contributes to advancements in the understanding and analysis of magnetic phenomena.

AlgorithmsVol. 18(1)
Gangneung–Wonju National University (KR), Korea University (KR), Université Moulay Ismail de Meknes (MA)
National Research Foundation, National Research Foundation of Korea
Openalex Percentile: Top 11%
Numerical methods for differential equations
2.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.