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20 results for “Magnetic topology”
Magnetism of Topological Boundary States Induced by Boron Substitution in Graphene Nanoribbons
<p>OPEN DATA related to the research publication:</p> <p>Niklas Friedrich, Pedro Brandimarte, Jingcheng Li, Shohei Saito, Shigehiro Yamaguchi, Iago Pozo, Diego Peña, Thomas Frederiksen, Aran Garcia-Lekue, Daniel Sánchez-Portal, and José Ignacio Pascual, <em>Magnetism of Topological Boundary States Induced by Boron Substitution in Graphene Nanoribbons</em>, Phys. Rev. Lett. <strong>125</strong>, 146801 (2020) [arXiv:2004.10280]</p> <p>Abstract: Graphene nanoribbons (GNRs), low-dimensional platforms for carbon-based electronics, show the promising perspective to also incorporate spin polarization in their conjugated electron system. However, magnetism in GNRs is generally associated with localized states around zigzag edges, difficult to fabricate and with high reactivity. Here we demonstrate that magnetism can also be induced away from physical GNR zigzag edges through atomically precise engineering topological defects in its interior. A pair of substitutional boron atoms inserted in the carbon backbone breaks the conjugation of their topological bands and builds two spin-polarized boundary states around them. The spin state was detected in electrical transport measurements through boron-substituted GNRs suspended between the tip and the sample of a scanning tunneling microscope. First-principle simulations find that boron pairs induce a spin 1, which is modified by tuning the spacing between pairs. Our results demonstrate a route to embed spin chains in GNRs, turning them into basic elements of spintronic devices.</p>
Tuning topological spin textures in size-tailored chiral magnet insulator particles
<p>The file contains the raw data and code used for the paper entitled "Tuning topological spin textures in size-tailored chiral magnet insulator particles" by Priya R. Baral et al. to be published in Journal of Physical Chemistry C. </p> <p>Requests for further information can be directed to the corresponding author: Arnaud Magrez (arnaud.magrez 'at' epfl.ch) </p>
Source data files for manuscript "Closed Magnetic Topology in the Venusian Magnetotail and Ion Escape at Venus"
<p>The zip file contains source data files for all figures in the manuscript "Closed Magnetic Topology in the Venusian Magnetotail and Ion Escape at Venus" published in Nature Communications. DOI: 10.1038/s41467-024-50480-0.</p>
Source data for "Discovery of topological Weyl fermion lines and drumhead surface states in a room temperature magnet"
<p>Source data for "Discovery of topological Weyl fermion lines and drumhead surface states in a room temperature magnet" by I. Belopolski et al., Science 365, 1278-1281 (2019).</p>
Data for: Fractional Topological Charges in 2D Magnets
<p>We provide the data files and, where relevant, simulation files (written in go) for each of the four figures in the main text.</p> <p>To run the .go files, place them in the same directory with the .smp files and execute sbatch "simulation_file_name.smp". Note that "drivenDefect.smp" will only run if the initial magnetisation data file "m_200x1000y_centred_Delta_1.25_NegB0_arrIndB0_2.ovf" is placed in a subdirectory "initialDefectCentred" of the same directory. </p> <p>We use three different ways of presenting the data for magnetisation, topological charge density and the velocity data for Fig. 4c. Magnetisation data follow the format "{{x,y,z},{Mx,My,Mz}}", while topological charge density data follow "..{x,y,\rho_{top}}..". Note that the y index runs over the outer lists, while the x index runs over the inner lists, so to retrieve e.g. the 5th column and 3rd row of a data file, use dataFile[[5,3]], after importing the data file into "dataFile". For the velocity data, we use "{w,vx,vy}.." (note that only the vy data was used in Fig.1c).</p>
Anomalous magnetic noise in an imperfectly flat landscape in the topological magnet Dy_2Ti_2O_7
<p>Noise generated by motion of charge and spin provides a unique window into materials at the atomic scale. From temperature of resistors to electrons breaking into fractional quasiparticles , “listening” to the noise spectrum is a powerful way to decode underlying dynamics. Here, we use ultrasensitive SQUIDS to probe the puzzling noise in a frustrated magnet, the spin-ice compound Dy2Ti2O7 (DTO), revealing cooperative and memory effects. DTO is the first topological magnet in three dimensions–characterised by an emergent magnetostatics and tell-tale fractionalized magnetic monopole quasiparticles–whose real-time dynamical properties have been an enigma from the very beginning. We show that DTO exhibits highly anomalous noise spectra, differing significantly from the expected Brownian noise of monopole random walks, in three qualitatively different regimes: equilibrium spin ice, a ‘frozen’ regime extending to ultra-low temperatures, as well as a high-temperature ‘anomalous’ paramagnet. We present several distinct mechanisms which give rise to varied coloured noise spectra. In addition, we identify the structure of the local spin-flip dynamics as a crucial ingredient for any modelling. Thus, the dynamics of spin ice reflects the interplay of local dynamics with emergent topological degrees of freedom and a frustration-generated imperfectly flat energy landscape, and as such points to intriguing cooperative and memory effects for a broad class of magnetic materials</p>
Model generated open-closed field topology maps produced by ISSI team "Magnetic Open Flux And Solar Wind Structuring Of Interplanetary Space"
<p>Open and closed magnetic field topologies of the solar corona generated using four PFSS based coronal models (EUHFORIA, WSA, MULTI-VP, PSI-PFSS) and one full MHD coronal model (PSSI-MHD) using two different types of HMI-ADAPT magnetic field maps (with and without Active Regions (AR) added retrospectively). The magnetograms used are accessible here <a href="https://doi.org/10.5281/zenodo.10211762" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10211762</a> (Henney, Carl. ‘ADAPT Global Solar Magnetic Maps - 2010 Sep 18-20 (w/ & W/o Farside Active Region Input)’. Zenodo, 28 November 2023).</p> <p>These model outputs were generated by the ISSI team "Magnetic Open Flux And Solar Wind Structuring Of Interplanetary Space" and were used for the paper accessible on Arxiv via this link: https://arxiv.org/abs/2311.04024</p>
EMM EMUS Observations of FUV Aurora on Mars: Dependence on Magnetic Topology, Local Time, and Season
<p>EMM EMUS Observations of FUV Aurora on Mars: Dependence on Magnetic Topology, Local Time, and Season</p>
Transport chirality generated by a tunable tilt of Weyl nodes in a van der Waals topological magnet
<p>The source ASCII data files for the article entitled "Transport chirality generated by a tunable tilt of Weyl<br>nodes in a van der Waals topological magnet".</p>
Data from: Anomalous Landau quantization in intrinsic magnetic topological insulators
Open the record for dataset details and reuse information.
Anomalous Nernst effect in the topological and magnetic material MnBi4Te7 (Data)
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Data for "Axion insulator state in hundred-nanometer-thick magnetic topological insulator sandwich heterostructures"
<p>All data in the main text for "Axion insulator state in hundred-nanometer-thick magnetic topological insulator sandwich heterostructures"</p>
Separating the roles of magnetic topology and neutral trapping in modifying the detachment threshold for TCV
<p>Dataset for the plasma physics paper "Separating the roles of magnetic topology and neutral<br> trapping in modifying the detachment threshold for TCV". </p>
Topological data analysis of vortices in the magnetically-induced current density in LiH molecule
<p>This is the accompanying data for the paper titled "Topological data analysis of vortices in the magnetically-induced current density in LiH molecule" by Malgorzata Olejniczak and Julien Tierny</p>
Supplemental information for "Creating thin magnetic layers at the surface of 2 Sb2Te3 topological insulators using a low-energy chromium ion beam"
<p>A test upload of the data repository to Zenodo</p>
Role of Berry phase theory for describing orbital magnetism: From magnetic heterostructures to topological orbital ferromagnets
<p>Data for related publication</p>
Raw data for "3D Quantum Anomalous Hall Effect in Magnetic Topological Insulator Trilayers of Hundred-Nanometer Thickness"
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Spontaneous reversal of spin chirality and competing phases in the topological magnet EuAl4 - Data set
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Source Data File for "Magnetocaloric Effect of Topological Excitations in Kitaev Magnets" published in Nat. Commun.
<table> <tbody> <tr> <td> <p><span>“Source Data.xlsx” for manuscript "</span>Magnetocaloric Effect of Topological Excitations in Kitaev Magnets"<span> is provided. Here is the title and a brief description for the data:</span></p> <p> </p> <p><span>Sheet 1: Fig1bcd(gh)</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig1.b-d. The data could also be used in generating Fig1.gh.</span></p> <p><span> </span></p> <p><span>Sheet 2: Fig1e</span></p> <p><span>Description: The data to generate Fig.1e. The rows starting with Gamma_B represent the Gruneisen parameter; while the rows starting with B indicate the magnetic fields. </span></p> <p><span> </span></p> <p><span>Sheet 3: Fig1f</span></p> <p><span>Description: The data to generate Fig.1f. The rows starting with T represent the temperature; while the rows starting with chi indicate the magnetic susceptibility. </span></p> <p><span> </span></p> <p><span>Sheet 4: Fig1gh</span></p> <p><span>Description: The data to generate Fig.1gh. The rows starting with T represent the temperature; while the rows starting with S/ln2 indicate the thermal entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span> </span></p> <p><span>Sheet 5: Fig2ab</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig.2a. These data also include the portion used to generate Fig.2b.</span></p> <p><span> </span></p> <p><span>Sheet 6: Fig2cd</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig.2c. These data also include the portion used to generate Fig.2d.</span></p> <p><span> </span></p> <p><span>Sheet 7: Fig3ab</span></p> <p><span>Description: The data to generate Fig.3ab. The rows starting with T represent the temperature; rows starting with Cm represent the specific heat; rows starting with Wp represent the expectation value of flux operator; while the rows starting with S/ln2 indicate the thermal entropy. </span></p> <p><span> </span></p> <p><span>Sheet 8: Fig3c</span></p> <p><span>Description: The data to generate Fig.3c. The rows starting with T represent the temperature; while the rows starting with S1(omega=0) indicate the estimate of relaxation rate. </span></p> <p><span> </span></p> <p><span>Sheet 9: Fig3d</span></p> <p><span>Description: The data to generate the landscape of Fig.3d. The columns starting with kx/pi and ky/pi represent the q-points in momentum space; while the columns starting with S(q) and S_tr(q) indicate the data of spin structure factors. </span></p> <p><span> </span></p> <p><span>Sheet 10: Fig3e</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of specific heat as shown in Fig.3e</span></p> <p><span> </span></p> <p><span>Sheet 11: Fig4a</span></p> <p><span>Description: The data to generate Fig.4a. The rows starting with T represent the temperature; while the rows starting with S/ln2 indicate the thermal entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span> </span></p> <p><span>Sheet 12: Fig4c</span></p> <p><span>Description: The data to generate Fig.4c. The rows starting with Ti represent the initial temperature; while the rows starting with Tf indicate the final reached temperature. </span></p> <p><span> </span></p> <p><span>Sheet 13: Fig4d</span></p> <p><span>Description: The data to generate Fig.4d. The rows starting with T tilde represent the rescaled temperature; while the rows starting with S/ln(2s+1) indicate the renormalized entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span> </span></p> <p><span> </span></p> <p><span> </span></p> </td> </tr> </tbody> </table>
Raw Data of "3D Quantum Anomalous Hall Effect in Magnetic Topological Insulator Trilayers of Hundred‐Nanometer Thickness"
<p>Raw data for "3D Quantum Anomalous Hall Effect in Magnetic Topological Insulator Trilayers of Hundred‐Nanometer Thickness"".</p> <p>In addition to the raw data (zip folder), we have also attached 6 Origin files that demonstrate how we processed the dilution fridge data presented in this work.</p>
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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.