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Based on the Landau-Lifshitz-Gilbert equation, it can be shown that a circularly-polarized microwave can reverse the magnetization of a Stoner particle through synchronization. In comparison with magnetization reversal induced by a static…

Materials Science · Physics 2009-12-14 Z. Z. Sun , X. R. Wang

Weak localization corrections to conductivity of ferromagnetic systems are studied theoretically in the case when spin-orbit interaction plays a significant role. Two cases are analyzed in detail: (i) the case when the spin-orbit…

Materials Science · Physics 2009-11-07 V. K. Dugaev , P. Bruno , J. Barnas

Understanding and predicting microstructure evolution is fundamental to materials science, as it governs the resulting properties and performance of materials. Traditional simulation methods, such as phase-field models, offer high-fidelity…

Machine Learning · Computer Science 2026-02-24 Michael Trimboli , Mohammed Alsubaie , Sirani M. Perera , Ke-Gang Wang , Xianqi Li

To optimize the design of STT-MRAM (spin-transfer torque magnetic random access memory), it is necessary to be able to predict switching (error) rates. For small elements, this can be done using a single-macrospin theory since the element…

Materials Science · Physics 2016-04-15 P. B. Visscher , Kamaram Munira , Robert J. Rosati

The low-temperature magnetic structure of NdFeAsO has been revisited using neutron powder diffraction and symmetry analysis using the Sarah representational analysis program. Four magnetic models with one magnetic variable for each of the…

Superconductivity · Physics 2012-06-08 A. Marcinkova , T. C. Hansen , J. W. G. Bos

We investigate the structural conditions for metamagnetism in MnP and related materials using Density Functional Theory. A magnetic stability plot is constructed taking into account the two shortest Mn-Mn distances. We find that a…

Materials Science · Physics 2010-06-23 Z. Gercsi , K. G. Sandeman

Magnetic reversal processes of a FePt/{\alpha}-Fe/FePt trilayer system with in-plane easy axes have been investigated within a micromagnetic approach. It is found that the magnetic reversal process consists of three steps: nucleation of a…

Materials Science · Physics 2015-05-20 N. L. Guo , G. P. Zhao , H. W. Zhang , Y. Deng

In this study, we employ high-energy X-ray characterization to examine the role of relatively large amounts of intragranular lattice misorientation -- present after many thermomechanical processes -- on the micromechanical response of…

We report a magnetic and neutron diffraction study on the ground state magnetism and field evolution of single crystal van der Waals multiferroic CuCrP2S6. The ordered moments align along the b axis in the A-type antiferromagnetic…

Strongly Correlated Electrons · Physics 2026-03-30 Jiasen Guo , Ryan P. Siebenaller , Michael A. Susner , Jiaqiang Yan , Zachary Morgan , Feng Ye

We report on a theoretical study of electromagnetic properties of zigzag magnesium oxides nanoribbons (Z-MgONRs). We propose that the polar charges and the spin polarization are the two key factors for edge magnetism. Based on…

Mesoscale and Nanoscale Physics · Physics 2019-05-08 Liang Liu , Xue Ren , Jihao Xie , Bin Cheng , Jifan Hu

The magnetic characteristics of polycrystalline exchange-biased antiferromagnet/ferromagnet-bilayers are determined by a complex interplay of parameters, describing structural and magnetic properties of the material system, including in…

Materials Science · Physics 2022-07-20 Maximilian Merkel , Meike Reginka , Rico Huhnstock , Arno Ehresmann

Magnetic nanoparticles (MNPs) have been proposed as an ultimate solution for diverse applications including nanomedicine and logic devices over decades. However, none has emerged revolutionary because realizing their magnetization response…

Applied Physics · Physics 2020-02-19 Mohammad Reza Zamani Kouhpanji , Pieter B Visscher , Bethanie J H Stadler

Magnetostriction drives a rhombohedral distortion in the cubic rock salt antiferromagnet MnO at the N\'eel temperature $T_{N}=118$ K. As an unexpected consequence we show that this distortion acts to localize the site of an implanted muon…

In this work we use a phenomenological theory of ferroelectric switching in BiFeO$_3$ thin films to uncover the mechanism of the two-step process that leads to the reversal of the weak magnetization of these materials. First, we introduce a…

Materials Science · Physics 2023-07-28 Natalya S. Fedorova , Dmitri E. Nikonov , John M. Mangeri , Hai Li , Ian A. Young , Jorge Íñiguez

Free-form structural forms are widely used to design spatial structures for their irregular spatial morphology. Current free-form form-finding methods cannot adequately meet the material properties, structural requirements or construction…

Machine Learning · Computer Science 2024-07-16 Yiping Meng , Yiming Sun

Magnetic data inversion is an important tool in geophysics, used to infer subsurface magnetic susceptibility distributions from surface magnetic field measurements. This inverse problem is inherently ill-posed, characterized by non-unique…

In the present work, we report on the in situ magnetic force microscopy (MFM) study of the magnetization reversal in two-dimensional arrays of ferromagnetic Ni80Fe20 and Co55Fe45 nanowires(NW) with different diameters (40, 50, 70 and 100…

Materials Science · Physics 2013-12-03 M. R. Tabasum , F. Zighem , J. De La Torre Medina , A. Encinas , L. Piraux , B. Nysten

Strain-mediated thin film multiferroics comprising piezoelectric/ferromagnetic heterostructures enable the electrical manipulation of magnetization with much greater efficiency than other methods; however, the investigation of…

Mesoscale and Nanoscale Physics · Physics 2016-10-05 Ian Gilbert , Andres C. Chavez , Daniel T. Pierce , John Unguris , Wei-Yang Sun , Cheng-Yen Liang , Gregory P. Carman

We study the dynamical magnetization process in the ordered ground-state phase of the transverse Ising model under sweeps of magnetic field with constant velocities. In the case of very slow sweeps and for small systems studied previously…

Other Condensed Matter · Physics 2009-11-13 Seiji Miyashita , Hans De Raedt , Bernard Barbara

This study examines the application of machine learning algorithms, specifically the Random Forest regression model, to optimize the magnetocaloric effect in all-d-metal Heusler alloys. The model was trained using descriptors related to the…

Materials Science · Physics 2024-09-24 Danil Baigutlin , Vladimir Sokolovskiy , Vasiliy Buchelnikov , Sergey Taskaev