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Related papers: Magnetic Nanoparticle Assemblies

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Confronting the unveiled sophisticated multiscale structural and physical characteristics of hysteresis simulation of permanent magnets, notably samarium-cobalt (Sm-Co) alloy, a novel scheme is proposed linking physics-based micromagnetics…

Materials Science · Physics 2023-04-12 Yangyiwei Yang , Patrick Kühn , Mozhdeh Fathidoost , Bai-Xiang Xu

Magnetic reconnection occurs ubiquitously in the universe and is often invoked to explain fast energy release and particle acceleration in high-energy astrophysics. The study of relativistic magnetic reconnection in the magnetically…

High Energy Astrophysical Phenomena · Physics 2024-04-23 Fan Guo , Yi-Hsin Liu , Seiji Zenitani , Masahiro Hoshino

When magnets are fashioned into nanoscale elements, they exhibit a wide variety of phenomena replete with rich physics and the lure of tantalizing applications. In this topical review, we discuss some of these phenomena, especially those…

Mesoscale and Nanoscale Physics · Physics 2021-12-08 Bivas Rana , Amrit Kumar Mondal , Supriyo Bandyopadhyay , Anjan Barman

The magnetic behavior of $Fe_{3-x}O_4$ nanoparticles synthesized either by high-temperature decomposition of an organic iron precursor or low-temperature co-precipitation in aqueous conditions, is compared. Transmission electron microscopy,…

The non-equilibrium dynamics of condensation phenomena in nano-pores is studied via Monte Carlo simulation of a lattice gas model. Hysteretic behavior of the particle density as a function of the density of a reservoir is obtained for…

Soft Condensed Matter · Physics 2009-11-10 Raja Paul , Heiko Rieger

Beautiful theories of magnetic hysteresis based on random microscopic disorder have been developed over the past ten years. Our goal was to directly compare these theories with precise experiments. We first developed and then applied…

The magnetic relaxation of ferromagnetic powders has been studied for many years, largely due to its importance to recording technologies. However, only recently have experiments been performed that resolve the magnetic state of individual…

Condensed Matter · Physics 2009-10-22 Howard L. Richards , Scott W. Sides , M. A. Novotny , Per Arne Rikvold

We demonstrate how micromagnetic simulations can be employed in order to characterize and analyze the magnetic microstructure of nanocomposites. For the example of nanocrystalline Nd$-$Fe$-$B, which is a potential material for future…

Materials Science · Physics 2018-04-04 Sergey Erokhin , Dmitry Berkov , Masaaki Ito , Akira Kato , Masao Yano , Andreas Michels

Magnetic particles underpin a broad range of technologies, from water purification and mineral processing to bioseparations and targeted drug delivery. The dynamics of magnetic particles in high-gradient magnetic fields-encompassing both…

Statistical Mechanics · Physics 2026-05-14 Marko Tesanovic , Daniel M. Markiewitz , Marcus L. Popp , Martin Z. Bazant , Sonja Berensmeier

The physical properties of magnetic nanoparticles have been investigated with focus on the influence of dipolar interparticle interaction. For weakly coupled nanoparticles, thermodynamic perturbation theory is employed to derive analytical…

Materials Science · Physics 2016-08-31 Petra E. Jönsson

We study dynamical and thermal effects that are induced in nanoparticle systems by a rotating magnetic field. Using the deterministic Landau-Lifshitz equation and appropriate rotating coordinate systems, we derive the equations that…

Statistical Mechanics · Physics 2016-08-16 S. I. Denisov , T. V. Lyutyy , P. Hänggi , K. N. Trohidou

Magnetic nanomaterials record information as fast as picoseconds in computer memories but retain it for millions of years in ancient rocks. This exceedingly broad range of times is covered by hopping over a potential energy barrier through…

Optics · Physics 2023-09-12 S. Adhikari , Y. Wang , P. Spaeth , F. Scalerandi , W. Albrecht , J. Liu , M. Orrit

We study relaxation behaviour in the two-dimensional assembly of magnetic nanoparticles (MNPs) with aligned anisotropy axes and positional defects. The anisotropy axes orientation and disorder strength is changed by varying $\alpha$ and…

Materials Science · Physics 2023-11-15 Manish Anand

We study a ferromagnetic suspension or a suspension of magnetic nanoparticles in an anisotropic nematic medium, in three different one-dimensional variational settings, ordered in terms of increasing complexity. The three models are…

Soft Condensed Matter · Physics 2019-07-17 Konark Bisht , Varsha Banerjee , Paul Milewski , Apala Majumdar

The magnetic relaxation processes in disordered two-dimensional ensembles of dipole-coupled magnetic nanoparticles are theoretically investigated by performing numerical simulations. The energy landscape of the system is explored by…

Materials Science · Physics 2009-11-13 G. M. Pastor , P. J. Jensen

We develop a phenomenological model to study magnetic hysteresis in two samples designed as possible perpendicular recording media. A stochastic cellular automata model captures cooperative behavior in the nucleation of magnetic domains. We…

Magnetism primarily describes the physics and materials science of systems presenting a magnetization -- a macroscopic order parameter characterizing electron angular momentum. The order parameter is associated with the electronic exchange…

Mesoscale and Nanoscale Physics · Physics 2018-10-11 Andrew D. Kent , Hendrik Ohldag , Herrmann Dürr , Jonathan Z. Sun

Nanocomposites comprised of insulated magnetic single-domain particles are promising candidates for high-frequency, eddy current free, soft magnetic materials, but tend to suffer from low magnetic susceptibility ($<20$). Particle alignment…

Studying the physical processes occurring in the region just above the magnetic poles of strongly magnetized, accreting binary neutron stars is essential to our understanding of stellar and binary system evolution. Perhaps more importantly,…

We demonstrate the use of model order reduction and neural networks for estimating the hysteresis properties of nanocrystalline permanent magnets from microstructure. With a data-driven approach, we learn the demagnetization curve from…

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