The studies on monodomain magnetic nanoparticle systems in colloidal suspensions have heightened lately due to their technological applications, in particular in medicine. Most applications depend on the behaviour of these systems in external magnetic field. In these systems, the nanoparticle dynamics are characterized by the Néel relaxation time and Brownian relaxation time. Due to the complexity of these systems, modelling and numerical simulation, requiring some methods of calculation, are used in the studies. Lately, it has been experimentally and theoretically shown that the magnetic dipolar interactions among nanoparticles influence the behaviour of the systems, even at low concentrations of nanoparticles. The complexity of the problem related to this type of interaction comes from its long-range anisotropic characteristic. This paper presents a series of studies on how the approximation methods, used for the dipolar magnetic interaction energy calculation, affect the magnetic nanoparticle relaxation time, as well as the impact of this aspect on the interpretation of results.
Some memory effects in nanoparticle systems, similar to those seen in spin glass systems, may have important device applications, by tuning the interaction and the particle size. Recently, this subject provoked a special interest in nano-sciences. In this work we present a study, by simulation of the mode in which the behavior of a magnetic nanoparticle system is influenced by the superposition of the dimensions' distribution, the effective anisotropy constants and the disposal of nanoparticles in the sample, if we take into account the dipolar magnetic interaction.
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.