Efficient solvers for coupled Brown-Néel Fokker-Planck equations II

Solving the inverse problem in magnetic particle imaging (MPI) relies on efficient and accurate solutions to the forward model. In [1] we proposed a numerical method for solving the convection-dominated Fokker-Planck equation arising from coupled Brownian and Néel relaxation mechanisms. Furthermore, this method tackles the parameter dependence coming from the potentially large number of physical parameter combinations. In this work, we present numerical results for the coupled problem using the joint angular-temporal discretization of this partial differential equation (PDE) and a reduced basis (RB) method for the parameter dependence from [1]

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Publication Details

Journal
Infinite Science GmbH
Published
2025-10-28
DOI
https://doi.org/10.18416/ijmpi.2026.2603030
Primary Topic
Characterization and Applications of Magnetic Nanoparticles
Type
article
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article

Efficient solvers for coupled Brown-Néel Fokker-Planck equations II

Franziska Schrank, Volkmar Schulz, Markus Bachmayr, Manfred Faldum
Infinite Science GmbH
Characterization and Applications of Magnetic Nanoparticles
article

Efficient solvers for coupled Brown-Néel Fokker-Planck equations II

Franziska Schrank, Volkmar Schulz, Markus Bachmayr, Manfred Faldum
article en

Abstract

Solving the inverse problem in magnetic particle imaging (MPI) relies on efficient and accurate solutions to the forward model. In [1] we proposed a numerical method for solving the convection-dominated Fokker-Planck equation arising from coupled Brownian and Néel relaxation mechanisms. Furthermore, this method tackles the parameter dependence coming from the potentially large number of physical parameter combinations. In this work, we present numerical results for the coupled problem using the joint angular-temporal discretization of this partial differential equation (PDE) and a reduced basis (RB) method for the parameter dependence from [1]

Infinite Science GmbH
Fraunhofer Institute for Production Technology IPT (DE), Applied Mathematics (United States) (US), RWTH Aachen University (DE)
Openalex Percentile: Top 36%
Characterization and Applications of Magnetic Nanoparticles
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