2025/03/14 by Bikulov, Timur, Abbas, Mohamad-Bilal, Krause, Hans-Joachim +2
#Monte-Carlo #dual-frequency #magnetic moment distribution #nonlinear magnetization
paper · doi:10.18416/ijmpi.2025.2503005
Magnetic Particle Spectroscopy (MPS) allows for direct characterization of magneto-physical properties of magnetic nanoparticles (MNP), which are widely researched as imaging tracers, biosensing units and therapeutic heating agents. All these applications rely primarily on the core size-dependent magnetic particle relaxation dynamics. Therefore, knowledge about core size of any MNP sample is crucial. Dual-frequency MPS increases the characterization potential by considering frequency mixing terms of the received signal of MNP, from which their sizes can be approximated. In this work, preliminary feasibility and interpretation of a proposed size reconstruction method is tested against precisely simulated input data from stochastically coupled Néel-Brownian relaxation modeling using Monte Carlo implementation.