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84 results for “Heterostructures”
Dataset for publication High-capacitance BiPO4 material with monoclinic-hexagonal crystalline phase heterostructure for aqueous asymmetric supercapacitors
<p>The dataset contains all relevant data and figures regarding the manuscript "High-capacitance BiPO4 material with monoclinic/hexagonal crystalline phase heterostructure for aqueous asymmetric supercapacitors".</p> <p>All Figures are in tiff format and all relevant data are in csv formats. </p> <p>The data in csv format are labelled as specified in the corresping images (e.g. Figure 1a csv file corresponds to data used to plot graphs from Figure 1a etc.). </p> <p>Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.</p>
Tunable Capacitor For Superconducting Qubits Using an InAs/InGaAs Heterostructure
<p>COMSOL, HFSS simulation files, along with Python analysis / plotting code related to the work titled "Tunable Capacitor for Superconducting Qubits Using an InAs/InGaAs Heterostructure."</p>
Dataset for Pressure-tuning of minibands in MoS2/WSe2 heterostructures revealed by moire phonons
<p>This is the repository for the spectroscopic data used for the paper Pressure-tuning of minibands in MoS<sub>2</sub>/WSe<sub>2</sub> heterostructures revealed by moiré phonons.</p>
Datesets and images of the publication "Probing crystallinity and grain structure of 2D materials and 2D-like van der Waals heterostructures by low-voltage electron diffraction" - DOI: 10.1002/pssa.202300148
<p>Datasets and images of the publication "Probing crystallinity and grain structure of 2D materials and 2D-like van der Waals heterostructures by low-voltage electron diffraction" - DOI: <a href="https://www.doi.org/10.1002/pssa.202300148">10.1002/pssa.202300148</a></p> <p>The Jupyter Notebooks for analyzing the datasets and generating all the figures are available at <a href="https://gitlab.com/JohMu/tds_hios_manuscript">https://gitlab.com/JohMu/tds_hios_manuscript</a>.</p> <p><strong>MoS<sub>2</sub> 4D-STEM dataset:</strong></p> <ul> <li>192x192 scan pixels</li> <li>200x200 camera pixels</li> <li>Acceleration voltage: 20kV</li> <li>Camera length: 10.56 mm</li> <li>Camera pixel size: 4x5.86 µm = 23.44 µm (original dataset with 4x4 binning)</li> <li>File location: Figure 2_3_S1.zip -> 230101205338_20kV_hexz0_camz-10_posi_003_good\scan_data_bin2_centered_crop-imgNx200.h5</li> <li>The original raw dataset (23 GB, 192x192 scan pixels, 800x800 camera pixels, camera pixel size: 5.86 µm), the scan reference dataset and the Jupyter Notebook for the shift-compensation is available from the author. The dataset uploaded here is binned by a factor of 4 and shift-compensated.</li> </ul> <p><strong>C60/MoS<sub>2</sub> 4D-STEM dataset:</strong></p> <ul> <li>113x113 scan pixels</li> <li>512x512 camera pixels</li> <li>Acceleration voltage: 20kV</li> <li>Camera length: 20.56 mm</li> <li>Camera pixel size: 5.86 µm</li> <li>File location: Figure 4.zip -> scan_data_scan113x113_gzip.h5</li> </ul> <p> </p>
Data from: Insight into the structural and magnetotransport properties of epitaxial alpha-Fe2O3/Pt(111) heterostructures: The role of the reversed layer sequence
<p>We report on the chemical structure and spin Hall magnetoresistance (SMR) in epitaxial α-Fe<sub>2</sub>O<sub>3</sub>(hematite)(0001)/Pt(111) bilayers with hematite thicknesses of 6 nm and 15 nm grown by molecular beam epitaxy on a MgO(111) substrate. Unlike previous studies that involved Pt overlayers on hematite, the present hematite films were grown on a stable Pt buffer layer and displayed structural changes as a function of thickness. These structural differences (the presence of a ferrimagnetic phase in the thinner film) significantly affected the magnetotransport properties of the bilayers. We observed a sign change of the SMR from positive to negative when the thickness of hematite increased from 6 nm to 15 nm. For α-Fe<sub>2</sub>O<sub>3</sub>(15 nm)/Pt, we demonstrated room-temperature switching of the Néel order with rectangular, nondecaying switching characteristics. Such structures open the way to extending magnetotransport studies to more complex systems with double asymmetric metal/hematite/Pt interfaces.</p>
Data set for "Electrical control of hybrid exciton transport in a van der Waals heterostructure"
<p>Data set for "Electrical control of hybrid exciton transport in a van der Waals heterostructure"</p>
Signatures of a spin-active interface and locally enhanced Zeeman field in a superconductor-chiral material heterostructure
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Data from: Insight into the structural and magnetotransport properties of epitaxial alpha-Fe2O3/Pt(111) heterostructures: The role of the reversed layer sequence
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Suspended photonic crystal membranes in AlGaAs heterostructures for integrated multi-element optomechanics
<p>The figures in [Sushanth Kini Manjeshwar et.al (arXiv:2004.12454)] were produced with the data stored here. The data were produced by the provided scripts. Please read the Readme.txt for the overview of the structure of the data and how to use the scripts to re-generate the data or use it to produce new data.</p>
Correlations in the elastic Landau level of a graphene/NbSe2 van der Waals heterostructure
<p>Dataset and source code for the paper "Correlations in the elastic Landau level of a graphene/NbSe2 van der Waals heterostructure"</p>
This dataset contains the measurement data and its metadata of the publication "Out-of-plane corrugations in graphene based van der Waals heterostructures".
<p>This dataset contains the measurement data and its metadata of the publication "Out-of-plane corrugations in graphene based van der Waals heterostructures".</p>
Auxetic piezoelectric effect in heterostructures
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Code and data for "Machine-learning-boosted ab-initio study of the thermal conductivity of Janus PtSTe van der Waals heterostructures"
<h1>Code and data for <em>Machine-learning-boosted ab-initio study of the thermal conductivity of Janus PtSTe van der Waals heterostructures</em></h1> <p> </p> <h2>Contents:</h2> <ul> <li><strong>neuralil.tar.xz</strong>: version used in the manuscript of the force-field code described in the articles <a href="https://doi.org/10.1021/acs.jcim.1c01380">A Differentiable Neural-Network Force Field for Ionic Liquids</a> and <a href="https://doi.org/10.1063/5.0146905">Deep ensembles vs committees for uncertainty estimation in neural-network force fields: Comparison and application to active learning</a>. General-purpose releases can be found <a href="https://github.com/Madsen-s-research-group/neuralil-public-releases">here</a>.</li> <li><strong>DFT_data.tar.xz</strong>: first-principles data created for training and validating the force field, stored as <a href="https://wiki.fysik.dtu.dk/ase/ase/db/db.html">ASE databases</a> in JSON format.</li> <li><strong>model_params_plain_ensemble_DEEP_413E12A9.pkl</strong>: saved parameters of the fully trained force field.</li> <li><strong>0001-Use-equipartition-occupancies.patch</strong>: patch for <a href="https://phonopy.github.io/phono3py">Phono3py</a> to use classical (equipartition) occupations instead of Bose-Einstein values.</li> </ul>
Influence of CoFeB layer thickness on elastic parameters in CoFeB/MgO heterostructures
<p>This is the dataset for the paper titled 'Influence of CoFeB layer thickness on elastic parameters in CoFeB/MgO heterostructures", published in Scientific Report.</p>
Transistor Effect in III-Nitride-NbN Heterostructure
<p>Niobium Nitride (NbN) is metallic at room temperature. NbN / III-N heterostructures are of interest for<br>new devices applications such as the Metal Base Transistor (MBT, Patented by III-V Lab) [Delage]. A IIINitride/<br>NbN/III-Nitride heterostructure was processed and a first transistor effect is demonstrated. A<br>description of the device and electrical characterisazion results are presented.</p>
Effect of the underlayer on the elastic parameters of the CoFeB/MgO heterostructures
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Distance Dependence of the Energy Transfer Mechanism in WS2-Graphene Heterostructures
<h2>Description of Uploaded Raw Data and Programs for Recreating Figures</h2> <h3>Raw Data</h3> <p>The raw data in this dataset is primarily in ".np" binary format, which is used by the python package numpy.</p> <h3>Software and Programs</h3> <p>The figures in the paper were generated using Python programs, as well as Jupiter Notebooks, which are included in the dataset. These programs are sorted in their respective folders.</p>
Non-Majorana-origin of the half-integer conductance quantization elucidated by multi-terminal superconductor-quantum anomalous Hall insulator heterostructure
<p>This folder contains the raw data files used for generating the figures in our preprint (<a href="https://arxiv.org/abs/2411.14903v1">arXiv:2411.14903</a>), "Non-Majorana-origin of the half-integer conductance quantization elucidated by multi-terminal superconductor-quantum anomalous Hall insulator heterostructure", written by A. Uday, G. Lippertz, B. Bhujel, A. A. Taskin, and Y. Ando.</p> <p>The measurement data for each figure are provided in CSV format within the respective folders. Labels and units are specified in the file headers. The figures of the manuscript are also included in PDF format.</p>
Research Data supporting "Cooperative Supramolecular Block Copolymerization for the Synthesis of Functional Axial Organic Heterostructures"
<p>Raw research data supporting the article A. Sarkar, T. Behera, R. Sasmal, R. Capelli, C. Empereur-mot, J. Mahato, S. S. Agasti, G. M. Pavan, A. Chowdhury, S. J. George "Cooperative Supramolecular Block Copolymerization for the Synthesis of Functional Axial Organic Heterostructures".</p>
Supporting data for Kealhofer et al., "Controlling and visualizing Dirac physics in topological semimetal heterostructures" (2022)
<p>This repository contains data supporting Kealhofer et al., "Controlling and visualizing Dirac physics in topological semimetal heterostructures" (2022). Please see the corresponding publication for the corresponding author's contact information.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.