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52 results for “ferromagnetic”
Ferromagnetic resonance of Co thin films grown by atomic layer deposition on the Sb2Te3 topological insulator (data)
<p>This dataset contains the raw data files connected with the figures included in the paper "<em>Ferromagnetic resonance of Co thin films grown by atomic layer deposition on the Sb<sub>2</sub>Te<sub>3</sub> topological insulator</em>" by E. Longo et al., JMMM 209, 166885 (2020): <a href="https://linkinghub.elsevier.com/retrieve/pii/S0304885319336029">https://linkinghub.elsevier.com/retrieve/pii/S0304885319336029</a></p>
3D motion of flexible ferromagnetic filaments under rotating magnetic field
<p>This repository contains experimental data and numerical results related to the publication: A. Zaben, G. Kitenbergs, A. Cēbers (2020), 3D motion of flexible ferromagnetic filaments under rotating magnetic field. Soft Matter, <a href="https://doi.org/10.1039/D0SM00403K">https://doi.org/10.1039/D0SM00403K</a> / <a href="https://arxiv.org/abs/2003.03737">https://arxiv.org/abs/2003.03737</a>.</p> <p>Figs_data.xlsx contains the data presented in the figures. Experimental_Data.rar contains experimental images used to obtain the results for Fig. 3 and 9. The files are named with the operating frequency, field strength and filament length. Numerical.rar contains numerical results used in Fig.6, 8 and 9. The files are named with Cm values. The results are in .dat files named with Cm values followed by wt (wend_cm_wt). The first column is for time(t) followed by x,y,z values of filament tips. </p> <p> </p>
Cu-doping effects on the ferromagnetic semimetal CeAuGe
<p>Dataset for the Journal article entitled "Cu-doping effects on the ferromagnetic semimetal CeAuGe"</p>
Research Data - Collective Spin-Wave Dynamics in Gyroid Ferromagnetic Nanostructures
<p>Source data from ferromagnetic resonance experiments and micromagnetic simulations in <em>tetmag</em> software (<a href="https://github.com/R-Hertel/tetmag">https://github.com/R-Hertel/tetmag</a>), used in the paper "Collective Spin-Wave Dynamics in Gyroid Ferromagnetic Nanostructures"<em> </em>in <em>ACS Applied Materials & Interfaces </em>(<a href="https://doi.org/10.1021/acsami.4c02366">https://doi.org/10.1021/acsami.4c02366</a>).</p>
Research Data - Nucleation and Arrangement of Abrikosov Vortices in Hybrid Superconductor-Ferromagnetic Nanostructure
<p>Source data from micromagnetic simulations performed in COMSOL Multiphysics and Python codes for data post-processing utilized in the paper "Nucleation and Arrangement of Abrikosov Vortices in Hybrid Superconductor-Ferromagnetic Nanostructure."</p> <p><strong>Square 250-250-205 (nm 3).gif<br></strong>The time evolution of normal-phase indentations and vortex structures in 3D superconducting prism with dimensions \(250 \times 250 \times 205\) nm\(^3\) is analyzed under an inhomogeneous magnetic field generated by a nearby ferromagnetic nanodot with dimensions \(250 \times 250 \times 700\) nm\(^3\), positioned at a distance of \(d\) = 10 nm.</p> <p><strong>Square 250-250-205 (nm 3)- B(H).gif</strong><br>The time evolution of normal-phase indentations and vortex structures in 3D superconducting prism with dimensions \(250 \times 250 \times 205\) nm\(^3\) is analyzed under a homogeneous magnetic field of 315 mT.</p> <p><strong>Sphere radius 200 nm.gif</strong><br>The temporal evolution of vortex structures in a 3D superconducting sphere with a radius of 200 nm is visualized under the effect of a spatially varying magnetic field generated by a ferromagnetic nanodot with dimensions \(350 \times 350 \times 700\) nm\(^3\), positioned 10 nm away.</p> <p><strong>2D_empty Comsol file<br></strong>The TDGL (Time-Dependent Ginzburg-Landau) model is implemented in COMSOL Multiphysics to simulate 2D superconducting systems, a long wire with a square cross-section and a side length of \(a = 250\) nm, under the influence of homogeneous magnetic fields.</p> <p><strong>3D-B(H)-dynamic_empty Comsol file<br></strong>The TDGL model is utilized in COMSOL to simulate a 3D superconducting prism with a square cross-section, where the side length is \(a = 250\) nm and the height is either 205 nm or 185 nm, subjected to homogeneous magnetic fields.</p> <p><strong>3D-350 nm-B(FM)_empty Comsol file</strong><br>The TDGL model is implemented in COMSOL to simulate a 3D superconducting prism with a square cross-section, where the side length is \(a = 350\) nm and the height is 320 nm. The prism is exposed to inhomogeneous magnetic fields produced by a ferromagnetic nanodot with dimensions \(350 \times 350 \times 700\) nm\(^3\), located at varying distances \(d\) from the superconducting prism.</p> <p><strong>3D-250 nm-B(FM)_empty Comsol file</strong><br>The TDGL model is implemented in COMSOL to simulate a 3D superconducting prism with a square cross-section, where the side length is \(a = 250\) nm and the height is 320 nm. The prism is exposed to inhomogeneous magnetic fields generated by a ferromagnetic nanodot with dimensions \(250 \times 250 \times 700\) nm\(^3\), positioned at varying distances \(d\) from the superconducting prism.</p> <p>The files from Comsol (.mph) are without simulation solutions due to their large size - please contact us if needed.</p>
Measured and analyzed raw data for publication "Nanoscale spin ordering and spin screening effects in tunnel ferromagnetic Josephson junctions" (doi: https://doi.org/10.1038/s43246-024-00497-1)
<p>The data provided by this dataset are the raw data published in the paper "Nanoscale spin ordering and spin screening effects in tunnel ferromagnetic Josephson junctions" (doi: https://www.nature.com/articles/s43246-024-00497-1). </p> <p>It can be found:</p> <p>-In the folder figure2_IV, the current-voltage characteristics (IV) of standard Superconductor-Insulator-Superconductor Josephson Junctions (SIS JJ) and of Superconductor-Insulator-Ferromagnet-thin superconductor- Superconductor Josephson Junctions (SIsFS JJ) at 10 mK </p> <p>-In the folder figure2_IVH, the magnetic dependence of the critical current of the SIsS and SIsFS at 10 mK</p> <p>-In the folder figure3_IVHT, the magnetic dependence of the critical current of the SIsFS as a function of the temperature T</p> <p>-In the figure4_gamma, the experimental and theoretical dependence of \gamma, i.e., the magnetic moment of the S-layers normalized to the F-layer in absolute value, as a function of the characteristic energy of the inverse proximity effect</p>
Measured and analyzed raw data for publication "Phase dynamics of tunnel Al-based ferromagnetic Josephson junctions"(https://doi.org/10.1063/5.0211006)
<p>The dataset provided here reports raw data published in June 2024 (Phase dynamics of tunnel Al-based ferromagnetic Josephson junctions): current-voltage I-V characteristics as a function of the temperature T; switching current distributions (SCD) as a function of T and calculated mean switching currents, standard deviations and skewness from the SCDs and superconducting branch resistance R0 as a function of the temperature. All the data for magnetic and non-magnetic Josephson junctions have been acquired, as highlighted in the corresponding reference.</p>
Dataset of the publication: Magnon Straintronics in the 2D van der Waals Ferromagnet CrSBr from First-Principles
<p>Dataset of the publication: Magnon Straintronics in the 2D van der Waals Ferromagnet CrSBr from First-Principles</p> <p>DOI: 10.1021/acs.nanolett.2c02863</p> <p>D. L. Esteras, A. Rybakov, A. M. Ruiz, J. J. Baldoví</p> <p>Nano Lett. 2022, 22, 21, 8771–8778</p>
Dataset of the publication: Multistep magnetization switching in orthogonally twisted ferromagnetic monolayers
<p>Dataset of the publication: Multistep magnetization switching in orthogonally twisted ferromagnetic monolayers</p> <p>DOI: <span>10.1038/s41563-023-01735-6</span></p> <p>Boix-Constant, C; Jenkins, S; Rama-Eiroa, R; Santos, EJG; Mañas-Valero, S; Coronado, E</p> <p>Nat. Mater. 23, 212–218 (2024)</p>
Quasi-two-dimensional ferromagnetism in the triangular magnet EuAl12O19: Monte Carlo Calculations
<p>This repository contains all classical Monte Carlo calculations relevant for EuAl12O19 material. All calculations were conducted using the UppASD code.</p> <p>Contents:</p> <ul> <li>in the root directory - all plots published in the Calculations section of the paper, together with underlying data</li> <li><code>ab_plane_nodip</code> - a directory containing calculations for <em>M || H || [100]</em> and <em>M || H || [210]</em>, showing that the orientation of spins within the ab-plane does not have an effect on the magnetization curves. Calculated without dipolar interaction</li> <li><code>dm_effect</code> - a directory containing magnetization curve calculations for a) no Dzyaloshinskii-Moriya interaction (<code>dm_effect/0</code>), b) strong Dzyaloshinskii-Moriya interaction of <em>D = J/2</em> (<code>dm_effect/0.00125</code>)</li> <li><code>fit_nodip</code> - a directory with calculations related to J (exchange interaction energy), K (single-ion anisotropy energy) fitting -- <strong>without</strong> dipolar interaction</li> <li><code>fit_dip</code> - a directory with calculations related to J, K fitting -- <strong>with</strong> dipolar interaction, <strong>source of data for plots in the paper</strong></li> </ul> <p><strong>Note</strong>: all directories were archived to .tar.gz files to comply with the file number limit.</p> <h3>MvsB curves</h3> <p>Each directory contains a set of magnetization calculations for various parameters and follows the same strict directory structure: UppASD calculations necessary for the MvsB magnetization curves are found in subdirectory <code>Hsweep/$J/$K/$axis/$T/$H</code> where:</p> <ul> <li><code>$J</code> is the value of exchange interaction energy (in mRy)</li> <li><code>$K</code> is the value of single-ion anisotropy energy (in mRy)</li> <li><code>$axis</code> is the direction of both the external field and the magnetization measurement (either <code>100</code>, <code>210</code> or <code>001</code>)</li> <li><code>$T</code> is the temperature (in Kelvins)</li> <li><code>$H</code> is the strength of the external field (in Teslas)</li> </ul> <p>Each UppASD calculation contains a set of input files (<code>inpsd.dat</code>, <code>posfile</code>, <code>momfile</code>, <code>jfile</code>, <code>kfile</code>) and output files (<code>*.out</code>).</p> <p>Furthermore, files <code>Hsweep/$J/$K/$axis/$T/MvsB.dat</code> contain the data for specific MvsB magnetization curve. Files <code>Hsweep/$J/$K/MvsB-[$axis].png</code> contain plots of MvsB magnetization curves for a specific axis and all available temperatures.</p> <h3>MvsT curves</h3> <p>A similar directory structure exists for calculations necessary for the MvsT curves - <code>Tsweep/$J/$K/$axis/$T</code> where the parameters have the same meaning as in the Hsweep directory.</p> <p>Files <code>Tsweep/$J/$K/$axis/MvsT.dat</code> contain the data for a specific MvsT magnetization curve. Files <code>Tsweep/$J/$K/MvsT.png</code> contain plots of MvsT curves for all available axes.</p> <p><strong>H = 0.1 T for all MvsT measurements</strong>.</p>
Dataset for the publication "Reversing the magnetization of 50-nm-wide ferromagnets by ultrashort magnons in thin-film Yttrium Iron Garnet"
<p>Dataset belonging to the manuscript "Reversing the magnetization of 50-nm-wide ferromagnets by ultrashort magnons in thin-film Yttrium Iron Garnet" published in Nanoscale Horizons, doi: <a href="https://doi.org/10.1039/D4NH00095A">https://doi.org/10.1039/D4NH00095A</a></p> <p>Every specific folder contains a text file that explains the measurement parameters and file formats.</p> <p>Abstract:</p> <p>Spin waves (magnons) can enable neuromorphic computing by which one aims at overcoming limitations inherent to conventional electronics and the von Neumann architecture. Encoding magnon signal by reversing magnetization of a nanomagnetic memory bit is pivotal to realize such novel computing schemes efficiently. A magnonic neural network was recently proposed consisting of differently configured nanomagnets that control nonlinear magnon interference in an underlying yttrium iron garnet (YIG) film [Papp et al., Nature communications, 2021, 12, 6422]. In this study, we explore the nonvolatile encoding of magnon signals by switching the magnetization of periodic and aperiodic arrays (gratings) of Ni81Fe19 (Py) nanostripes with widths w between 50 nm and 200 nm. Integrating 50-nm-wide nanostripes with a coplanar waveguide, we excited magnons having a wavelength λ of ≈100 nm. At a small spin-precessional power of 11 nW, these ultrashort magnons switch the magnetization of 50-nm-wide Py nanostripes after they have propagated over 25 μm in YIG. We also demonstrate the magnetization reversal of nanostripes patterned in an aperiodic sequence. We thereby show that the magnon-induced reversal happens regardless of the width and periodicity of the nanostripe gratings. Our study enlarges substantially the parameter regime for magnon-induced nanomagnet reversal on YIG and is important for realizing in-memory computing paradigms making use of magnons with ultrashort wavelengths at low power consumption."</p>
Characterizing ferromagnetic domains in ring structures using in-situ magnetic Fresnel imaging
<p>This deposit contains supplementary datasets and data processing scripts used in a Specialization Project by Rajith Aravinth at the Norwegian University of Science and Technology (NTNU).</p> <p><strong>Dataset</strong>:</p> <p>2021_03_26_FA721_A6.5_in_situ_stack.hspy</p> <p>Sample FA721, window W1, ring A6.5um, objective lens 0768.<br> Tilting range [-2.0, 2.0] deg. in X and [-2.0, 2.0] deg. in Y, step size 1.0 deg.</p> <p><strong>Python files:</strong><br> processing.py</p> <p>utils.py</p> <p>p001_make_hyperspy.py</p> <p>Running processing.py produces the domains and areas as numpy files, that can be used for visualisation and quantifications.<br> Looping through the whole dataset takes quite some time, hence the results are also to be found in the .npy files.</p> <p># Numpy files<br> areas.npy</p> <p>domains.npy</p> <p><strong>Notebook:</strong></p> <p>Jupyter_notebook.ipynb<br> More detail overlook of the algorithm, with visualizations and result</p>
Superconductor-ferromagnet hybrids for non-reciprocal electronics and detectors
<p># Data for the manuscript "Superconductor-ferromagnet hybrids for non-reciprocal electronics and detectors", submitted to Superconductor Science and Technology, arXiv:2302.12732.</p> <p>This archive contains the data for all plots of numerical data in the manuscript.</p> <p>## Fig. 4 <br> Data of Fig. 4 in the WDX (Wolfram Data Exchange) format (unzip to extract the files). Contains critical exchange fields and critical thicknesses as functions of the temperature. Can be opened with Wolfram Mathematica with the command: Import[FileNameJoin[{NotebookDirectory[],"filename.wdx"}]]</p> <p>## Fig. 5<br> Data of Fig. 5 in the WDX (Wolfram Data Exchange) format (unzip to extract the files). Contains theoretically calculated I(V) curves and the rectification coefficient R of N/FI/S junctions. Can be opened with Wolfram Mathematica with the command Import[FileNameJoin[{NotebookDirectory[],"filename.wdx"}]].</p> <p>## Fig. 7a<br> Data of Fig. 7a in the ascii format. Contains G in uS as a function of B in mT and V in mV.</p> <p>## Fig. 7c<br> Data of Fig. 7c in the ascii format. Contains G in uS as a function of B in mT and V in mV.</p> <p>## Fig. 7e<br> Data of Fig. 7e in the ascii format. Contains G in uS as a function of B in mT and V in mV.</p> <p>The plots 7b, d, and f are taken from the plots a, c and e as indicated in the caption of the figure.</p> <p>## Fig. 8<br> Data of Fig. 8 in the ascii format. Contains G in uS as a function V in mV for several values of B in mT.</p> <p>## Fig. 8 inset<br> Data of Fig. 8 inset in the ascii format. Contains G_0/G_N as a function of B in mT. </p> <p>## Fig9a_b</p> <p>First raw Magnetic field values in T, first column voltage drop in V, <br> rest of the columns differential conductance in S</p> <p>## Fig9b_FIT</p> <p>First raw Magnetic field values in T, first column voltage drop in V, <br> rest of the columns differential conductance in S</p> <p>## Fig9c</p> <p>First raw Magnetic field values in T, first column voltage drop in V, <br> rest of the columns R (real number)</p> <p>## Fig9c inset</p> <p>First raw Magnetic field values in T, odd columns voltage drop in V, <br> even columns injected current in A</p> <p>## Fog9d</p> <p>Foist column magnetic field in T, second column conductance ration (real <br> number), sample name in the file name.</p> <p> ## Fig. 12<br> Data of Fig. 12 in the ascii format. Contains energy resolution as functions of temperature and tunnel resistance with current and voltage readout.</p> <p>## Fig. 13<br> Data of Fig. 13 in the ascii format. Contains energy resolution as functions of (a) exchange field, (b) polarization, (c) dynes, and (d) absorber volume with different amplifier noises.</p> <p>## Fig. 14<br> Data of Fig. 14 in the ascii format. Contains detector pulse current as functions of (a) temperature change (b) time with different detector parameters.</p> <p><br> ## Fig. 17<br> Data of Fig. 17 in the ascii format. Contains dIdV curves as function of the voltage for different THz illumination frequency and polarization.</p> <p>## Fig. 18<br> Data of Fig. 18 in the ascii format. Contains the current flowing throughout the junction as function time (arbitrary units) for ON and OFF illumination at 150 GHz for InPol and CrossPol polarization.</p> <p>## Fig. 21<br> Data of Fig. 21c in the ascii format. Contains the magnitude of readout line S43 as frequency.<br> Data of Fig. 21d in the ascii format. Contains the magnitude of iKID line S21 as frequency.</p>
First-principles design of ferromagnetic monolayer MnO2 at the complex interface
<p>The crystal structure (POSCAR format) of the heterostructre studied in the manuscript entitled "First-principles design of ferromagnetic monolayer MnO$_2$ at the complex interface" that is currently under review at Physica Scripta. These structures have been relaxed with VASP code. </p>
Dataset for "Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film"
<p>The dataset consist of the data used to prepare the figures for the manusript entitled <em>Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film.</em> </p> <p>Please read README.txt file to see the description of the data in the files.</p>
dataset of 'Electric control of optically-induced magnetization dynamics in a van der Waals ferromagnetic semiconductor'
<p>This .zip archive contains all raw data used for the paper 'Electric control of optically-induced magnetization dynamics in a van der Waals ferromagnetic semiconductor'. In addition, it contains (partially) processed data, and the data that is plotted in the figures of this paper.</p>
Imaging orbital ferromagnetism in a moire Chern insulator
Open the record for dataset details and reuse information.
Deformation of flexible ferromagnetic filaments under a rotating magnetic field
<p>This repository contains experimental data and images related to the publication: A. Zaben, G. Kitenbergs, A. Cēbers (2020) Deformation of flexible ferromagnetic filaments under a rotating magnetic field. Journal of Magnetism and Magnetic Materials, 499, 166233 <a href="https://doi.org/10.1016/j.jmmm.2019.166233%20/">https://doi.org/10.1016/j.jmmm.2019.166233 </a> / <a href="https://arxiv.org/abs/1908.02604">https://arxiv.org/abs/1908.02604</a>. </p> <p> </p> <p>Excel files are results named corresponding to figure number in the publication. </p> <p> </p> <p>Root file '1' is for experimental images used for Fig.3, 4 and 5; where either the length is constant having file names as the value of the field strength or named with length values with fixed field strength for different frequencies. The images are named as the frequency value followed by the acquisition index. </p> <p>Data '2' is for images of relaxation experiments presented in Fig.6, for three different lengths and named as Experiment number (time index), having a frame rate of 150. </p>
Spin pumping during the antiferromagnetic–ferromagnetic phase transition of iron–rhodium
<p>This data set contains the data for the figures of the published data as well as the published figures.</p>
Data from: Entangling the vibrational modes of two massive ferromagnetic spheres using cavity magnomechanics
<p>Source data for Figures 2 and 3.</p>
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