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22 results for “Magnetic materials”
Supplemental material for "Enhanced collisionless laser absorption in strongly magnetized plasmas"
<p>This dataset constitutes supplemental material for the paper titled "Enhanced collisionless laser absorption in strongly magnetized plasmas" by Lili Manzo, Matthew R. Edwards, and Yuan Shi.</p> <p>• figure_data.zip<br> When unzipped, this folder contains subfolders fig1, fig2, …, fig10, each contains data used to generate figures 1,2, …,10 in the paper. The data files are in .txt, .mat, or .dat format, and are intended to be read by MATLAB.</p> <p>The data underlying fig1 and fig3 are generated using the Three-Wave-MATLAB code (https://gitlab.com/seanYuanSHI/three-wave-matlab).</p> <p>The data underlying fig2, fig4, and figs5-10 are raw simulation data or post-processed results of the epoch1d code (https://github.com/Warwick-Plasma/epoch).<br> <br> • figure_programs.zip<br> When unzipped, this folder contains plot_fig1.m, plot_fig2.m, …, plot_fig10.m, which are MATLAB scripts used to plot the corresponding data. Except for plot_fig2.m, which requires MATLAB version 2018 or later, all other scripts can run on MATLAB 2013 or later. The scripts plot the data but does not reproduce the formatting of the figures as shown in the paper.</p> <p>• input.deck<br> This is an example input for the epoch1d code (version 4.17.10) used to generate simulation data in the paper. </p>
Replication Data for: Probing magnetism in 2D materials at the nanoscale with single spin microscopy
<p>Data repository for: <strong>Probing magnetism in 2D materials at the nanoscale with single spin microscopy</strong></p> <p><em>Data description.pdf </em>describes the uploaded data.<br> <em>Data.xlsx</em> is the data represented in the paper.<br> <em>MzFromBNV.m</em>, <em>kvalues.m</em>, <em>NVZeemanShiftFromMagnetizedSampleEdge.m</em> are Matlab code files used to transform and fit the data.</p> <p> </p>
Characterization of Functionalized Chromatographic Nanoporous Silica Materials by Coupling Water Adsorption and Intrusion with Nuclear Magnetic Resonance Relaxometry
<p>This data publication is based on the metadata and datasets underlying the manuscript "Characterization of Functionalized Chromatographic Nanoporous Silica Materials by Coupling Water Adsorption and Intrusion with Nuclear Magnetic Resonance Relaxometry" (<a href="https://doi.org/10.1021/acsanm.3c04330"><span>https://doi.org/10.1021/acsanm.3c04330</span></a>)</p> <p>Included are the datasets used, raw and processed data of Adsorption measurements (Water, Ar 87K, N2 77K), Water Intrusion measurements, NMR Relaxometry and solid state MAS NMR measurements. More information can be found in the Readme file.</p> <p> </p>
BeMAGIC_Reduction of coercivity in magnetic materials upon voltage application
<p>BeMAGIC ITN (GA861145) Reduction of coercivity in magnetic materials upon voltage application. Results from UCAM, IFW/TUC and INRIM.</p>
Supplemental materials for "Benchmarking magnetized three-wave coupling for laser backscattering: Analytic solutions and kinetic simulations"
<p>Place the unzipped Data and Programs folders in the same directory. The contents of these folders are as follows:</p> <ul> <li>Data<br> Post processed data underlying each figure in the paper. The data files are .txt files with self-contained explanations. The files are organized in subfolders according to their purposes.<br> </li> <li>Programs <ul> <li>./PlotFigures<br> Contains python scripts for reading and plotting Data</li> <li>input.deck<br> Example input for EPOCH PIC code that generates raw data </li> <li>setup_batch.csh<br> Linux/Unix shell script for setting up batch simulations</li> <li>submit_batch<br> Slurm script for submitting jobs on computing clusters</li> </ul> </li> </ul>
Supplemental Material: Consolidating the concept of low-energy magnetic dipole decay radiation
<p>This record consists of all shell model calculation results used in Midtbø <em>et al</em>., <em>Consolidating the picture of low-energy magnetic dipole decay radiation, </em>Phys. Rev. C (2018, accepted), arXiv:1807.04036 [nucl-th].</p> <p>All calculations are performed using KSHELL (arXiv:1310.5431 [nucl-th]). For details on our calculations we refer to our article.</p>
Raw output data for "Chemical design of electronic and magnetic energy scales of tetravalent praseodymium materials", DOI: 10.1038/s41467-023-38431-7
<p>This repository contains output data from the first-principles calculations reported in the following article:</p> <p><strong>Authors:</strong> Arun Ramanathan, Jensen Kaplan, Dumitru-Claudiu Sergentu, Jacob A. Branson, Mykhaylo Ozerov, Alexander I. Kolesnikov, Stefan G. Minasian, Jochen Autschbach, John W. Freeland, Zhigang Jiang, Martin Mourigal, Henry S. La Pierre</p> <p><strong>Title:</strong> Chemical Design of Electronic and Magnetic Energy Scales in Tetravalent Praseodymium</p> <p><strong>Published in</strong> Nature Communications at: https://doi.org/10.1038/s41467-023-38431-7</p> <p><strong>Preprint on</strong> arXiv at: https://doi.org/10.48550/arXiv.2212.10401</p> <p><strong>Description:</strong></p> <p>The archive contains raw output files generated from quantum chemistry calculations conducted using the OpenMolcas program. OpenMolcas is a freely available program that can be accessed at <a href="https://gitlab.com/Molcas/OpenMolcas">https://gitlab.com/Molcas/OpenMolcas</a>. For specific details about the content of the archive, please refer to the '00README' file included in the archive.</p> <p> </p> <p> </p>
Neutrino emission by plasmon decay in a strong magnetic field: Data material
<p>This data reference paper summarizes the fundamental calculated results obtained analytically for the case of a neutron star (NS) crust: it’s cooling rate, time-scale evolution and neutrino luminosity, based on two different theories- Photo-Neutrino (PN) interaction and conventional weak interaction. Considering the NS environment as a degenerate plasmon composition the calculation tables are given. </p>
Figure 1 in Recent progress in magnetic nanoparticles and mesoporous materials for enzyme immobilization: an update
Figure 1. Mesoporous material-functioned MNPs.
Supplementary material and dataset for article "Structure-Function Relationship of Iron Oxide Nanoflowers: Optimal Sizes for Magnetic Hyperthermia Depending on Alternating Magnetic Field Conditions"
<p>The supporting information file contains additional measurements compared to the main manuscript of the related article: TEM size histograms, SAED and XRD patterns, absorption and fluorescence spectra, DC magnetization curves, AC hysteresis loops, HR-TEM, their FTT patterns and inverse FFT images after applying a mask in the reciprocal space, and various other plots of this multi-parametric study on the structure-properties relations of magnetic iron oxide nanoflowers. Whenever needed for comparison to other experimental results or theoretical fitting, the raw data of all DC magnetization curves, AC hysteresis loops, ZFC-FC magnetization curves vs. temperature (and their derivatives on temperature) are made freely available in this dataset.</p>
Anomalous Nernst effect in the topological and magnetic material MnBi4Te7 (Data)
Open the record for dataset details and reuse information.
Raw data for the HiTIMe deliverable 1.3. - deliver material with magnetic dopants
<p>Raw data for the HiTIMe deliverable 1.3. - TEM, SEM, AFM images, EDS spectra </p>
Supplementary material for the manuscript "Transition to chaos and modal structure of magnetized Taylor–Couette flow"
<p>These data and codes are the supplementary materials for the manuscript "Transition to chaos and modal structure of magnetized Taylor–Couette flow". The description of the data is in the file "DATA_OVERVIEW.txt".</p>
Datasets and simulation programs for the thesis 'Terahertz-Induced Dynamics in Strongly Correlated and Magnetic Materials'
<p>This dataset contains all the data and programs used to create the results in my thesis 'Terahertz-Induced Dynamics in Strongly Correlated and Magnetic Materials'.</p> <p>It is separated into individual chapters. Each chapter contains the data inside the figures, the raw data, if applicable, a program file, and a readme.txt offering additional information.</p>
Supplemental Material for the paper "Hamiltonian model for electron heating by electromagnetic waves during magnetic reconnection with a strong guide field"
<p>Video clip showing the trajectories of two close particles in the (x,px) phase space while interacting with a wave.</p> <p>Red and green dots are the particle positions, superimposed to the instantaneous energy levels.</p>
Associated modeling data & materials for manuscript: Observing the evolution of the Sun's global coronal magnetic field over eight months
<p>This archive contains the magnetohydrodynamic (MHD) modeling materials associated with the manuscript:</p> <p>"<em>Observing the evolution of the Sun’s global coronal magnetic field over eight months</em>"</p> <p>by Zihao Yang, Hui Tian, Steven Tomczyk, Xianyu Liu, Sarah Gibson,<br>Richard Morton, and Cooper Downs</p> <p>Science, 386(6717), 76-82, <strong>2024</strong>, DOI: <a title="Observing the evolution of the Sun&rsquo;s global coronal magnetic field over eight months" href="http://doi.org/10.1126/science.ado2993" target="_blank" rel="noopener">10.1126/science.ado2993</a></p> <p>This archive is intended for transparency and reproduceability purposes. It contains the MHD model source code, run inputs, run outputs, and example python scripts for working with the model data.</p> <p># Contents<br>The subfolders are organized as follows:</p> <p>### source<br>This folder contains the the high-performance MHD code "Magnetohydrodynamic Algorithm outside a Sphere" (MAS) and associated files. MAS is written in Fortran. The dependencies are very straightforward. See `README_MAS.txt` and the associated Makefile for compilation instructions.</p> <p>### runs<br>This folder contains the three MHD model runs that are described in the manuscript. See `README_Runs.txt` for more information on the inputs and outputs. Each folder contains all files required for recreating the run.</p> <p>### scripts<br>This folder contains some example python scripts that illustrate how to read the model data files. This includes an example that will convert the raw 3D data to physical units and place all variables on a common, non-staggered mesh. See `README_Scripts.txt` for more information.</p> <p># Additional Notes<br>MAS is developed and maintained by Predictive Science Inc. (PSI) in San Diego California.</p> <p>The version of MAS in the source folder is not the most recent version. It is the exact version of MAS from the main branch that was used for MHDweb CORHEL runs circa 2022 when similar runs were first posted to PSI's website. For this reason, we used this exact version of MAS for the runs described in the manuscript. As such, MAS is licensed here using the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license. Please see the LICENSE file or visit https://creativecommons.org/licenses/by-nc-nd/4.0/ for details. </p> <p>We are currently working on a project that includes a public, open source release of MAS on GitHub, which will be licensed appropriately. This archive is not intended for that purpose.</p> <p>If you have questions, concerns, or issues installing or running this code for reproduceability purposes, please contact Cooper Downs <cdowns@predsci.com>.</p>
Dataset of "Impactor material records the ancient lunar magnetic field in antipodal anomalies"
<p>This dataset contains input files for iSALE-3D for the paper "Impactor material records the ancient lunar magnetic field in antipodal anomalies" by S. Wakita et al.<br> <br> Please note that usage of the iSALE-3D code is restricted to those who have contributed to the development of iSALE-2D, and iSALE-2D is distributed on a case-by-case basis to academic users in the impact community. It requires a registration from the iSALE webpage (http://www.isale-code.de), and usage of iSALE-2D and computational requirements are also shown there. Please also note that pySALEPlot in the current stable release of iSALE-2D (Dellen) would not work for the data from iSALE-3D.</p>
Supplmental Material to Nature of Intense Magnetism and Differential Rotation In Convective Dynamos of M-Dwarf Stars With Tachoclines
<p>Inlists and source files used for the MESA model in the paper "Nature of Intense Magnetism and Differential Rotation In Convective Dynamos of M-Dwarf Stars With Tachoclines"</p> <p>This work employed MESA version 10398.</p>
Full vector low-temperature magnetic measurements of geologic materials
Open the record for dataset details and reuse information.
Supplementary Material in "How Does Magnetic Reconnection Drive the Early-stage Evolution of Coronal Mass Ejections?"
<p>All the kinematic profiles of the 60 CME-flare events mentioned in the study of Zhu <em>et al</em> 2020 <em>ApJ</em> <strong>893</strong> 141.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.