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50 results for “topological insulators”
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>
Large-Area MOVPE Growth of Topological Insulator Bi2Te3 Epitaxial Layers on i-Si(111) (data)
<p>This dataset contains the raw data files connected with the figures included in the paper "<em>Large-Area MOVPE Growth of Topological Insulator Bi<sub>2</sub>Te<sub>3</sub> Epitaxial Layers on i-Si(111)</em>" by <a href="https://pubs.acs.org/doi/10.1021/acs.cgd.1c00328">A. Kumar et al., <em>Cryst. Growth Des.</em> 2021, 21, 7, 4023–4029</a> </p>
Large Spin-to-Charge Conversion at Room Temperature in Extended Epitaxial Sb2Te3 Topological Insulator Chemically Grown on Silicon (data)
<p>This dataset contains the raw data files connected with the figures included in the paper "<em>Large Spin-to-Charge Conversion at Room Temperature in Extended Epitaxial Sb<sub>2</sub>Te<sub>3</sub> Topological Insulator Chemically Grown on Silicon</em>" by <a href="https://doi.org/10.1002/adfm.202109361">E. Longo et al., <em>Adv. Funct. Mater.</em> 2021, 2109361</a></p>
Dataset for "Light-Induced Non-Thermal Phase Transition To The Topological Crystalline Insulator State In SnSe"
<p>Dataset relative to the publication</p> <p><strong>"Light-Induced Non-Thermal Phase Transition To The Topological Crystalline Insulator State In SnSe"</strong></p> <p>Stefano Mocatti, Giovanni Marini, Matteo Calandra</p> <p><em>J. Phys. Chem. Lett.</em> 2023, 14, XXX, 9329–9334</p> <p><strong>DOI: </strong><a href="https://doi.org/10.1021/acs.jpclett.3c02450">10.1021/acs.jpclett.3c02450</a></p> <p>The dataset contains the following folders</p> <p><strong>Conv: </strong>Convergence tests for total energy, stress tensor and phonon frequencies</p> <p><strong>Pseudo: </strong>All pseudopotentials used </p> <p><strong>Figures: </strong>All the data and script to reproduce the figures reported in the manuscript</p> <p><strong>Fign: </strong>Simulation data referred to the n<sup>th </sup>figure of the manuscript</p> <p>The dataset contains also the preprint version of the manuscript (preprint.pdf) and the supporting information file (SI.pdf) </p>
Data from: Topological nano-switches in higher-order topological insulators
<p>This repository provides data underlying the figures in the manuscript titled 'Topological nano-switches in higher-order topological insulators'.</p> <p>The data is given in CSV-format and the data files are named after their respective figures. The data corresponding to figure 2 is provided separately for the four field orientations in each panel of the figure, and contains the probability density on each site of the discretized system as a 2D array. Similarly, the data for figure C1 is provided separately. The other files contain the scattering matrix elements in columns labeled 'ij', with each row corresponding to an orientation of the magnetic field in the range [0, 2π] listed in the column labeled 'theta'. </p> <p>The data was generated using Kwant, a free (open source), powerful, and easy to use Python package for numerical calculations on tight-binding models. An example of how the studied systems were constructed is included in 'higher_order_ti_nano_switches.py', and contains the code to calculate the corresponding scattering matricies for a chosen set of parameters. The probability density included in the data related to figure 2 can similarly be extracted from the discretized system. See '<a href="https://kwant-project.org/">kwant-project.org</a>' for additional details.</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>
Data for "Characterizing the chemical potential disorder in the topological insulator (Bi1−xSbx)2Te3 thin films"
<p>Here, the data underlying all figures of the paper "Characterizing the chemical potential disorder in the topological insulator (Bi$_{1−x}$Sb$_x$)$_2$Te$_3$ thin films" is given in .csv or .txt file format.<br>Furthermore, raw data files are provided.<br>The STM/STS data was recorded and stored with the Nanonis SPM Control Software Version Generic 5 in the Nanonis file format (.sxm) for scan images, binary file format (.3ds) for STSgrids and ASCII file format for simple point STS.</p>
Excited-state photoemission band mapping data of the topological insulator Bi2Te2Se
<p>The dataset contains excited-state photoemission band mapping data of the topological insulator Bi2Te2Se.</p> <p><strong>Provenance</strong>; The measurements were carried out at the Fritz Haber Insititute of the Max Planck Society, Germany. The Bi2Te2Se sample was grown at Aarhus University, Denmark. The photoelectrons were detected using SPECS METIS 1000 3D detector with extreme UV pulses centered at 21.7 eV as probe and a pump light pulses centered at 800 nm, which populates part of the excited electronic states (i.e. first conduction band).</p> <p><strong>Content</strong>: The dataset comes from (1) binning of the single-electron event data and (2) preprocessing through symmetrization and MCLAHE algorithm (https://ieeexplore.ieee.org/document/8895993) for contrast adjustment</p> <p><strong>Usage</strong>: The dataset is the prerequisite for band structure reconstruction, which may be used for reproducing the results in (https://arxiv.org/abs/2005.10210). For reconstruction, see the source code and examples on GitHub (https://github.com/mpes-kit/fuller).</p>
ALD growth of ultra-thin Co layers on the topological insulator Sb2Te3 (data)
<p>This dataset contains the raw data connected to all figures included in the "<em>ALD growth of ultra-thin Co layers on the topological insulator Sb<sub>2</sub>Te<sub>3</sub></em>" by E. Lango et at., Nano Research 13, 570 (2020): <a href="https://link.springer.com/article/10.1007/s12274-020-2657-4">https://link.springer.com/article/10.1007/s12274-020-2657-4</a></p>
Nanomechanical topological insulators with an auxiliary orbital degree of freedom - source data
<p>This data set contains the source data and the matlab scripts applied to obtain the results published in "Nanomechanical topological insulators with an auxiliary orbital degree of freedom". For details of the experimental procedure please refer to the main text of the article, as well as the supplementary information. </p>
Nontrivial gapless states at the stacking faults of weak topological insulators
<p>This code is used to study the topological properties of weak topological insulators in the presence of a stacking fault. Each WTI is made by a stack of zigzag ribbons stacked on top of each other in the z direction. There are two types of WTIs taken into consideration. One has a topological ribbon and a insulating spacer in each unit cell (two layers per unit cell). The other one has one topological layer and two spacers in each unit cell (three layers per unit cell).</p>
Data for "Ultrafast Spin-Charge Conversion at SnBi2Te4/Co Topological Insulator Interfaces Probed by Terahertz Emission Spectroscopy"
<p>Data for "Ultrafast Spin-Charge Conversion at SnBi2Te4/Co Topological Insulator Interfaces Probed by Terahertz Emission Spectroscopy"</p> <p>(<a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adom.202102061">https://onlinelibrary.wiley.com/doi/abs/10.1002/adom.202102061</a> and <a href="https://arxiv.org/pdf/2203.08756.pdf">https://arxiv.org/pdf/2203.08756.pdf</a>)</p> <p> </p> <p>E Rongione, S Fragkos, L Baringthon, J Hawecker, E Xenogiannopoulou, P Tsipas, C Song, M Mičica, J Mangeney, J Tignon, T Boulier, N Reyren, R Lebrun, J‐M George, P Le Fèvre, S Dhillon, A Dimoulas, H Jaffrès</p>
Electron beam damage to Topological Insulators
<p>Transport data, point spread functions, and analysis code accompanying "Low-damage electron beam lithography for nanostructures on Bi<sub>2</sub>Te<sub>3</sub>-class topological insulator thin films."</p>
In-plane growth of topological crystalline insulator Pb1−xSnxTe nanowires
<p>data of '<em>In-plane growth of topological crystalline insulator Pb1−x</em><em>Sn</em><em>x</em><em>Te nanowires'</em></p>
Data sets for "Dynamical bulk-boundary correspondence and dynamical quantum phase transitions in higher-order topological insulators"
<p>Data sets for the return rates and Loschmidt eigenvalues for the paper "Dynamical bulk-boundary correspondence and dynamical quantum phase transitions in higher-order topological insulators". Included are data for both bulk calculations and finite open systems labelled OBC. Data files are named with the quench parameters, see the article for details.</p>
Data from: Enhancement of the linear and nonlinear planar Hall effect by altermagnets on the surface of topological insulators
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Data from: Anomalous Landau quantization in intrinsic magnetic topological insulators
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Edge Mode Percolation and Equilibration in the Topological Insulator Cadmium Arsenide
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Data for "Transparent Josephson Junctions in Higher-Order Topological Insulator WTe2 via Pd Diffusion"
<p>Data for the publication "Transparent Josephson Junctions in Higher-Order Topological Insulator WTe<sub>2</sub> via Pd Diffusion".</p> <p>Updated version as accepted by Physical Review Materials. </p>
Non-Hermitian topology of transport in Chern insulators
<p>This repository contains our simulation data and codes used to produce the figures of the manuscript/supplementary material.</p>
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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
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