Hannes Albers

TL;DR: In this paper, a unified computational framework was developed and investigated to solve two parameter identification problems in the context of the chosen application, magnetic particle imaging, which can be used to compare quantitatively or qualitatively to measured data.

TL;DR: This work focuses on magnetization dynamics in large ensembles of single domain nanoparticles being characterized by either Brownian or N\'{e}el rotation mechanisms, for which a unified computational framework is developed and investigated.

TL;DR: In this paper, a model-based approach where the magnetization response is simulated by a Neel rotation model for the particle's magnetic moments and the ensemble magnetization is obtained by solving a Fokker-Planck equation approach is presented.

TL;DR: Algorithms and methods that can simulate Brownian and Neel rotation of MNPs' magnetic moments that can be used to obtain more accurate model-based system matrices than those relying on the so-called equilibrium model are comprise.

TL;DR: In this article, a model-based approach for magnetic particle imaging (MPI) has been proposed, where the magnetization response is simulated by a Neel rotation model for the particle's magnetic moments and the ensemble magnetization is obtained by solving a Fokker-Planck equation approach.