Local-in-time well-posedness for a magnetohydrodynamical model with intrinsic magnetisation

Ferromagnetic magnetohydrodynamics concerns the study of conducting fluids with intrinsic magnetisation under the influence of a magnetic field. It is a generalisation of the magnetohydrodynamical equations and takes into account the dynamics of the magnetisation of a fluid. First proposed by Lingam (2015), the usual equations of magnetohydrodynamics, namely the Navier–Stokes equation and the induction equation, are coupled with the Landau–Lifshitz–Gilbert equation. In this paper, the local-in-time existence, uniqueness and regularity of strong solutions to this system are discussed.

Authors

Institutions

Publication Details

Journal
Nonlinear Analysis Real World Applications
Published
2025-06-27
DOI
https://doi.org/10.1016/j.nonrwa.2025.104446
Primary Topic
Navier-Stokes equation solutions
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Local-in-time well-posedness for a magnetohydrodynamical model with intrinsic magnetisation

Thanh Tran, N. Vinod
Nonlinear Analysis Real World Applications
Navier-Stokes equation solutions
article

Local-in-time well-posedness for a magnetohydrodynamical model with intrinsic magnetisation

Thanh Tran, N. Vinod
article en

Abstract

Ferromagnetic magnetohydrodynamics concerns the study of conducting fluids with intrinsic magnetisation under the influence of a magnetic field. It is a generalisation of the magnetohydrodynamical equations and takes into account the dynamics of the magnetisation of a fluid. First proposed by Lingam (2015), the usual equations of magnetohydrodynamics, namely the Navier–Stokes equation and the induction equation, are coupled with the Landau–Lifshitz–Gilbert equation. In this paper, the local-in-time existence, uniqueness and regularity of strong solutions to this system are discussed.

Nonlinear Analysis Real World ApplicationsVol. 87
UNSW Sydney (AU)
Australian Government, Australian Research Council
Climate action
Openalex Percentile: Top 78%
Navier-Stokes equation solutions
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.