Particle size analysis in ferrofluids
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Cited by (142)
Enabling continuous flow manufacturing of magnetic nanoparticles with a millifluidic system
2022, Journal of Magnetism and Magnetic MaterialsParticle motion artifacts in equilibrium magnetization measurements of large iron oxide nanoparticles
2022, Journal of Magnetism and Magnetic MaterialsCitation Excerpt :To a large extent, work on the refinement of models mentioned above has been driven by the need for theories to explain real-world magnetization characteristics of metal and metal-oxide nanoparticles with an overwhelmingly wide range of physical and magnetic properties. Notable among contributions before the turn of the century are the works of Vogel and Fulcher [14–16], who accounted for contributions of inter-particle interactions to magnetization curves in non-dilute particle systems, Akulov [17,18] for their approach to saturation model for single crystal particles, Bean, Livingston and Jacobs [19,20], who account for change in domain magnetization as a function of particle size and the presence of multiple domains within a particle, Johnson [21], who accounted for the presence of multiple contributions to particle anisotropy, Berkowitz and coworkers [22] for dead layer theory, Kaiser and Miskolczy [23] for a model that incorporates a non-magnetic surface shell (commonly known in current literature as the magnetically dead layer or disordered layer), Chantrell [24] and O’Grady [25], who incorporated a lognormal or gaussian magnetic size distribution respectively into the stochastic Langevin function, Pfeiffer [26,27] for incorporation of thermal fluctuations into the Stoner-Wohlfarth model, Chen [28,29] for the concept of demagnetizing factors for non-spherical particles as a function of measurement temperature and particle concentration, Stearns and Cheng [30], who accounted for the presence of superparamagnetic and ferromagnetic contributions to the magnetization of a system of core–shell particles, Respaud [31] for a methodology accounting for surface effects in ultrafine particles, and Allia and coworkers [32,33], who account for dipolar interactions in hysteretic systems. Over the past two decades, due to increased access to high-performance processors and parallel computing, this body of work has also been heavily supplemented by computational and theoretical work modeling magnetization dynamics of magnetic nanoparticles [34–49].
Assessing hyperthermia performance of hybrid textile filaments: The impact of different heating agents
2021, Journal of Magnetism and Magnetic MaterialsCitation Excerpt :The coercivity field strength HC was estimated from the hysteresis curves at M = 0. The Chantrell fitting method according to [28,29] was used to calculate the MNP magnetic size dm from the magnetization data using log-normal distributed MNP sizes and neglecting particle–particle interactions. The zero-field cooled (ZFC) magnetization curves were obtained by measuring the magnetization in a magnetic field of 796 A/m, whereas the temperature was stepwise increased from 5 K to 295 K.