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127 results for “Nanowires”
Code and Data for "AC Josephson effect in a gate-tunable Cd3As2 nanowire superconducting weak link"
<p>This data set contains Python code to evaluate Shapiro maps and the measurement data, its metadata as well as figures used for the publication "AC Josephson effect in a gate-tunable Cd<sub>3</sub>As<sub>2</sub> nanowire superconducting weak link".</p>
Data and Code for 'Supercurrent through a single transverse mode in nanowire Josephson junctions'
<ul> <li>This repository contains data, code, and other materials for the ''Supercurrent through a single transverse mode in nanowire Josephson junctions''</li> </ul> <p><strong>Guideline:</strong></p> <ul> <li>Extract data and simulation results and python scripts in the same address.</li> </ul> <p><strong>Files:</strong></p> <ul> <li>Raw_data_and_simulation_results.zip: Full original raw data, measurement, and simulation results (plotted extended data beyond paper figures) zipped for different cooldowns.</li> <li>Figure.zip: Paper figures, raw figure data, and data-processing code for paper figures.</li> <li>Python script for generating the main text figure.zip: Paper figures, raw figure data, and data-processing code for paper main text figures.</li> <li>Python script for generating the supplementary figure.zip: Paper figures, raw figure data, and data-processing code for paper supplementary figures.</li> <li>Tin_QPC_paper_simulation_code:Code used to reproduce simulation results in the paper. </li> <li>Tin_QPC_log: Full measurement log and ppt summary</li> </ul> <p>Data formats</p> <ul> <li>MTX: A simple 2D/3D matrix format developed for Spyview.</li> <li>DAT: Plain-text tabular data. DAT and MTX files can be plotted with Spyview, qtplot (a portable version for Windows can be downloaded <a href="https://github.com/cover-me/qtplot/releases/download/2020.09.21/qt_plot.2020.09.21.7z">here</a>), and Jupyter notebooks in ZIP files or here.</li> <li>SET: Instrument settings.</li> <li>PY: Measurement scripts.</li> <li>IPYNB: Jupyter notebooks with code and figures. They can be previewed on this page.</li> </ul>
Dataset - On the performance of online adaptation of robots controlled by nanowire networks
<p>Dataset of the experiments considered in the article in the title</p>
Conductance Quantization in PbTe Nanowires
<p>This repository contains the raw data and processing Python scripts corresponding to the paper "Conductance Quantization in PbTe Nanowires"</p>
Proximity effect in PbTe-Pb hybrid nanowire Josephson junctions
<p>This repository contains the raw data and processing code of the paper "Proximity effect in PbTe-Pb hybrid nanowire Josephson junctions".</p>
Dataset accompanying "Ballistic Majorana nanowire devices"
<p>Measurement data, data processing and figure generating scripts for Gül et al. "Ballistic Majorana nanowire devices", Nature Nanotechnology 13, 192 (2018). <br> <br> The extended repository contains all the data measured in the context of the experiment (i.e. all measurements from a chip where at least one measurement was part of the paper), that is, more data sets than shown in the paper.</p>
GaN and InGaN nanowires prepared by metal-assisted electroless etching: experimental and theoretical studies
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Supplementary data for 'Non-Majorana states yield nearly quantized conductance in proximatized nanowires' and more
<p>Supplementary data for the 'Non-Majorana states yield nearly quantized conductance in proximatized nanowires' paper and ' delocalized states in three-terminal devices' paper</p>
Collector Droplet Behavior during Formation of Nanowire Junctions_experimental dataset
<p>This file contains the raw unprocessed experimental data for the results published in Yanming Wang et al., Collector Droplet Behavior during Formation of Nanowire Junctions, J. Phys. Chem. Lett. 2020, 11, XXX, 6498–6504.</p>
Measuring the Optical Absorption of Single Nanowires
<p>In this work we present a method to quantitatively measure the optical absorption of single nanowires that can be applied over a wide range of temperatures and with a high enough sensitivity to enable the measurement of below-band-gap absorption (as well as the absorption of single molecules). The method is based on accurately measuring the heat flow coming from a nanowire when it is illuminated by a laser beam. We experimentally verify this method by measuring the absorption of both a zincblende and a wurtzite GaAs, a wurtzite GaP, and a superlattice <span class="MathJax_CHTML mjx-chtml"><span class="mjx-math"><span class="mjx-mrow"><span class="mjx-msub"><span class="mjx-base"><span class="mjx-mi"><span class="MJXc-TeX-main-R mjx-char">Zn</span></span></span><span class="mjx-sub"><span class="mjx-mn"><span class="MJXc-TeX-main-R mjx-char">3</span></span></span></span><span class="MJXc-space1 mjx-msub"><span class="mjx-base"><span class="mjx-mi"><span class="MJXc-TeX-main-R mjx-char">P</span></span></span><span class="mjx-sub"><span class="mjx-mn"><span class="MJXc-TeX-main-R mjx-char">2</span></span></span></span></span></span></span> nanowire. Furthermore, we find that the <span class="MathJax_CHTML mjx-chtml"><span class="mjx-math"><span class="mjx-mrow"><span class="mjx-msub"><span class="mjx-base"><span class="mjx-mi"><span class="MJXc-TeX-main-R mjx-char">Zn</span></span></span><span class="mjx-sub"><span class="mjx-mn"><span class="MJXc-TeX-main-R mjx-char">3</span></span></span></span><span class="MJXc-space1 mjx-msub"><span class="mjx-base"><span class="mjx-mi"><span class="MJXc-TeX-main-R mjx-char">P</span></span></span><span class="mjx-sub"><span class="mjx-mn"><span class="MJXc-TeX-main-R mjx-char">2</span></span></span></span></span></span></span> nanowires have the largest absorption of all these materials. We analyze the advantages and disadvantages of the method and study its range of applicability.</p>
Weyl points in the multi-terminal Hybrid Superconductor-Semiconductor Nanowire devices
<p>Code and data points to obtain Figures in the manuscript</p>
Data from: Performance improvement of miniaturized ZnO nanowire accelerometer fabricated by refresh hydrothermal synthesis
Miniaturized accelerometers are necessary for evaluating the performance of small devices such as haptics, robotics and simulators. In this study, we fabricated miniaturized accelerometers using well aligned ZnO nanowires. The layer of ZnO nanowires is used for active piezoelectric layer of the accelerometer and copper was chosen as a head mass. Seedless and refresh hydrothermal synthesis methods were conducted to grow ZnO nanowires on the copper substrate and effect of ZnO nanowire length on the accelerometer performance was investigated. The refresh hydrothermal synthesis exhibits longer ZnO nanowires, 12 μm, than the seedless hydrothermal synthesis, 6 μm. Performance of the fabricated accelerometers was verified by comparing with a commercial accelerometer. The sensitivity of the fabricated accelerometer by the refresh hydrothermal synthesis is shown to be 37.7 pA/g, which is about 30 times larger than the previous result.
Quantum Dots Array on Ultra-Thin SOI Nanowires with Ferromagnetic Cobalt Barrier Gates for Enhanced Spin Qubit Control
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Catalyst-free MBE growth of Monocrystalline PbSnTe nanowires with tunable aspect ratio
<p>Link to the image analysis software: <a title="https://github.com/mcpim/APIMs" href="https://github.com/mcpim/APIMs">https://github.com/mcpim/APIMs</a></p>
Data for "Switching dynamics in Al/InAs nanowire-based gate-controlled superconducting switch"
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Deliverable D4.2 : Josephson effect in a TI nanowire-based device
<p>DELIVERABLE D4.2: Josephson effect in a TI nanowire-based device</p> <p>Hybrid material systems with a conventional superconductor in proximity to a strong spin-orbit semiconductor or a Topological Insulator (TI) have recently acquired a vast interest due to their potential to host exotic phenomena. In a multimode hybrid TI Josephson junction with two terminal geometry, Majorana physics manifests as peculiar properties of a part of the Andreev bound states carrying the Josephson current. They give rise to an unconventional 4π periodic current phase relation (CPR) coexisting with a 2π periodic CPR resulting from the conventional Andreev bound states. The relative weight between the 4π and 2π periodic Andreev bound states increases with the transparency of the junction and, in general, by reducing the number of channels. We make use of Al-Bi<sub>2</sub>Se<sub>3</sub>-Al junctions fabricated using TINRs grown by physical vapor deposition. To extract the current phase relation of our TI-junction, we utilize an asymmetric dc-Superconducting Quantum Interference Device (SQUID) measurement technique. </p>
One-Step Grown Carbonaceous Germanium Nanowires and Their Application as Highly Efficient Lithium-Ion Battery Anodes
<p>Developing a simple, cheap, and scalable synthetic method for the fabrication of functional nanomaterials is crucial. Carbon-based nanowire nanocomposites could play a key role in integrating group IV semiconducting nanomaterials as anodes into Li-ion batteries. Here, we report a very simple, one-pot solvothermal-like growth of carbonaceous germanium (C-Ge) nanowires in a supercritical solvent. C-Ge nanowires are grown just by heating (380–490 °C) a commercially sourced Ge precursor, diphenylgermane (DPG), in supercritical toluene, without any external catalysts or surfactants. The self-seeded nanowires are highly crystalline and very thin, with an average diameter between 11 and 19 nm. The amorphous carbonaceous layer coating on Ge nanowires is formed from the polymerization and condensation of light carbon compounds generated from the decomposition of DPG during the growth process. These carbonaceous Ge nanowires demonstrate impressive electrochemical performance as an anode material for Li-ion batteries with high specific charge values (>1200 mAh g<sup>–1</sup> after 500 cycles), greater than most of the previously reported for other “binder-free” Ge nanowire anode materials, and exceptionally stable capacity retention. The high specific charge values and impressively stable capacity are due to the unique morphology and composition of the nanowires.</p>
Dataset of "Parallel InAs nanowires for Cooper pair splitters with Coulomb repulsion"
<p>Raw data of CPS realized in parallel InAs nanowires with Coulomb repulsion.</p>
Transmission electron microscopy (TEM) image datasets of peptide / protein nanowire morphologies
<p>TEM image dataset containing four nanowire morphologies of bio-derived protein nanowires and synthetic peptide nanowires.</p> <p>The peptide / protein nanowires used in this study were synthesized and imaged by Brian Montz in Prof. Todd Emrick's research group at the Department of Polymer Science and Engineering Department, University of Massachusetts Amherst. </p> <p>We acknowledge financial support from the U.S. National Science Foundation, Grant NSF DMREF #1921839 and DMREF #1921871.</p> <p>Nanowires were classified into either of the four morphologies: bundle, singular, dispersed or network. Each morphology contains 100 images (jpg files).</p> <p>For the dispersed and network morphologies, because these two morphologies are harder to visually distinguish, we have created manual segmentation labels of the nanowires (included in these two morphology folders as png files). Percolation analysis was done on these manually segmented nanowires to provide quantitative metric on whether the nanowires form a network in the image. </p> <p>seg_mask_5_resolutions.zip contains ground truth 2D binary encoding of segmented nanowires at 5 resolutions.</p> <p>encoders_trained_with_optimized_hyperparameter.zip contains 4 sets of encoders trained with either SimCLR or Barlow-Twins self-supervised methods on either generic TEM images, or generic everyday photographic images (each with 5 replicates with different random seed) with optimized hyperparameters.</p> <p>Open-access datasets that have been used during self-supervised training.</p> <ul> <li>2021-CEM500K.zip contains 10,000 images that was used as "generic TEM images" to train the encoders with self-supervised methods, these are a random selection from the CEM500k open-access dataset. DOI: <a href="https://doi.org/10.7554/eLife.65894">10.7554/eLife.65894</a></li> <li>2022-1000-ImageNet.zip contains 1,000 images from the ImageNet1k dataset, each come from a different category. DOI: <a href="http://doi.org/10.1007/s11263-015-0816-y">10.1007/s11263-015-0816-y</a></li> </ul> <p>Open-access datasets that our machine learning workflow have been applied to:</p> <ul> <li>2022-AutoDetect-mNP-morphology.zip contains a selected TEM images of nanoparticles categorized in 3 morphologies from the AutoDetect-mNP datasets: DOI: <a href="http://doi.org/10.6078/D1WT44">10.6078/D1WT44</a> and DOI: <a href="http://doi.org/10.6078/D1S12H">10.6078/D1S12H</a></li> <li>2021-TEM virus.zip contains TEM images of 9 types of viruses from the TEM virus dataset. Matuszewski, Damian; Sintorn, Ida-Maria (2021), “TEM virus dataset”, Mendeley Data, V3, DOI: <a href="http://doi.org/10.17632/x4dwwfwtw3.3">10.17632/x4dwwfwtw3.3</a></li> </ul> <p>The official github page of the implementation of the machine learning models is <a href="https://github.com/arthijayaraman-lab/semi-supervised_learning_microscopy_images">semi-supervised_learning_microscopy_images</a>.</p> <p>If you use the dataset or the codes in the repository linked above, please cite the following <a href="https://doi.org/10.1039/D2DD00066K">manuscript</a>:</p> <p>S. Lu, B. Montz, T. Emrick and A. Jayaraman, <em>Digital Discovery</em>, 2022, <strong>1</strong>, 816-833 , <strong>DOI: </strong>10.1039/D2DD00066K</p>
SEM/EDX and OM images for stretchable Au-TiO2 nanowires
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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.