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20 results for “superfluid”
Coherent vortex dynamics in a strongly-interacting superfluid on a silicon chip: Experimental and simulation data sets
<p>This data set collates the experimental and simulation data for the research paper "Coherent vortex dynamics in a strongly-interacting superfluid on a silicon chip".</p>
Experimental data for the article on Topological nodal line in superfluid 3He and the Anderson theorem
<p>This submission contains the minimal dataset required to reproduce the experimental findings related to the article titled <em>Topological nodal line in superfluid <sup>3</sup>He and the Anderson theorem</em> associated with DOI 10.1038/s41467-023-39977-2.</p>
Data from "Measurement of the superfluid fraction of a supersolid by Josephson effect'
<p>Here we store the data shown in the main text and methods of the manuscript "Measurement of the superfluid fraction of a supersolid by Josephson effect". The data are organized in .dat files with the following scheme: </p> <p>X axis Y axis Y axis error (if available) X axis error (if available)</p> <p>The name of the files refer to the figure number in the paper. If more datasets are plotted in the same figure, the name of the file contains additional information. For example, the file 'FigED5b_Z.dat' contains the data in Extended Data Fig. 5 for the imbalance Z.</p>
Collective interlayer pairing and pair superfluidity in vertically stacked layers of dipolar excitons - data
<p>Data files for the figures appearing in the PNAS paper "Collective interlayer pairing and pair superfluidity in vertically stacked layers of dipolar excitons".</p> <p> </p> <p> </p>
Universal suppression of superfluid weight by non-magnetic disorder in s-wave superconductors independent of quantum geometry and band dispersion
<p>Motivated by the experimental progress in controlling the properties of the energy bands in superconductors, significant theoretical efforts have been devoted to study the effect of the quantum geometry and the flatness of the dispersion on the superfluid weight. In conventional superconductors, where the energy bands are wide and the Fermi energy is large, the contribution due to the quantum geometry is negligible, but in the opposite limit of flat-band superconductors the superfluid weight originates purely from the quantum geometry of Bloch wave functions.</p> <p>Here, we study how the energy band dispersion and the quantum geometry affect the disorder-induced suppression of the superfluid weight. In particular, we consider non-magnetic disorder and s-wave superconductivity. Surprisingly, we find that the disorder-dependence of the superfluid weight is universal across a variety of models, and independent of the quantum geometry and the flatness of the dispersion. Our results suggest that a flat-band superconductor is as resilient to disorder as a conventional superconductor.</p> <p>The provided repository contains all code and data to reproduce the results of this study.</p>
Bimodal Phase Diagram of the Superfluid Density in LaAlO3/SrTiO3 Revealed by an Interfacial Waveguide Resonator (Dataset)
<p>We explore the superconducting phase diagram of the two-dimensional electron system at the LaAlO3/SrTiO3 interface by monitoring the frequencies of the cavity modes of a coplanar waveguide resonator fabricated in the interface itself. We determine the phase diagram of the superconducting transition as a function of temperature and electrostatic gating, finding that both the superfluid density and the transition temperature follow a dome shape, but that the two are not monotonically related. The ground state of this 2DES is interpreted as a Josephson junction array, where a transition from long- to short-range order occurs as a function of the electronic doping. The synergy between correlated oxides and superconducting circuits is revealed to be a promising route to investigate these exotic compounds, complementary to standard magneto-transport measurements.</p>
Data for "Excitation Spectrum and Superfluid Gap of an Ultracold Fermi Gas"
<p>This upload includes data shown in the main text and the supplementary material of the paper "Excitation Spectrum and Superfluid Gap of an Ultracold Fermi Gas", <a href="https://arxiv.org/abs/2105.09820">arXiv:2105.09820</a></p>
Data for "Strongly correlated superfluid order parameters from dc Josephson supercurrents"
<p>This dataset contains the experimental data and the code to generate the theoretical models in the paper "Strongly correlated superfluid order parameters from dc Josephson supercurrents".</p> <p>Data tables and scripts to generate the theoretical curves are grouped in folders corresponding to the Figures in the paper.</p>
AC Josephson effect between two superfluid time crystals
<p>Dataset for the manuscript titled "AC Josephson effect between two superfluid time crystals" by the same authors.</p>
Stability and sensitivity of interacting fermionic superfluids to quenched disorder
<p>This data set contains all values plotted in the publication "<span>Stability and sensitivity of interacting fermionic superfluids to quenched disorde</span>r". </p>
Reproducibility pack for article: Quantum turbulence, superfluidity, non-Markovian dynamics, and wave function thermalization
<p>The supplementary material contains a reproducibility pack for results presented in the paper:</p> <p><em>Quantum turbulence, superfluidity, non-Markovian dynamics, and wave function thermalization</em><br>Aurel Bulgac, Matthew Kafker, Ibrahim Abdurrahman, and Gabriel Wlazłowski<br><a href="https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.6.L042003">Phys. Rev. Research 6, L042003 (2024)</a></p> <p>The packs contain full information needed to restore the numerical simulation of dynamics of 12 quantum vortices.<br>To be able to restore the results of calculations, you need to use the <a href="https://wslda.fizyka.pw.edu.pl/">W-SLDA Toolkit</a>.<br>See the documentation of the <a href="https://wslda.fizyka.pw.edu.pl/">W-SLDA Toolkit</a> to learn how to use the code and the reproducibility packs.</p>
Quantum turbulence in superfluid Fermi gas: results of numerical simulation
<p>Raw data of numerical simulation of quantum turbulence in superfluids Fermi gas.<br>Datasets are raw data used for publication: <br><em>Fermionic quantum turbulence: Pushing the limits of high-performance computing</em><br>by Gabriel Wlazłowski, Michael McNeil Forbes, Saptarshi Sarkar, Andreas Marek, and Maciej Szpindler<br><a href="https://doi.org/10.1093/pnasnexus/pgae160"><em>PNAS Nexus</em>, Volume 3, Issue 5, May 2024, pgae160</a></p>
Data from: "Evidence of superfluidity in a dipolar supersolid from non-classical rotational inertia"
<p>Here we store the data shown in the main text and in the supplementary material of the manuscritpt: "Evidence of superfluidity in a dipolar supersolid from non-classical rotational inertia", and the codes used to analyze the experimental data. All programs are Mathematica codes.</p>
Source Data for Xiao et al., Topological Superfluid Defects with Discrete Point Group Symmetries , Nature Communications 13, 4635 (2022).
<p>Source data for Figures 2-5. Source data for Supplementary Figures S2-S5 available upon request to David Hall (dshall@amherst.edu).</p>
Analogue quantum simulation of the Hawking effect in a polariton superfluid
<p>This data set contains all the fluid velocities, fluid densities and second order spatial correlations presented in Fig. 3 of the paper Analogue quantum simulation of the Hawking effect in a polariton superfluid <a href="https://doi.org/10.48550/arXiv.2201.02038">arXiv.2201.02038</a> published in EPJD.</p> <table summary="Additional metadata"> <tbody> <tr> <td> </td> <td> </td> </tr> </tbody> </table> <p> </p>
Numerical Tests of a Superfluid Effective Field Theory in the 3d O(2)-model.
<p>Dataset and Analysis tools for the project Numerical Tests of a Superfluid Effective Field Theory in the 3d O(2)-model. This dataset resulted from FCT advanced computing grants, 2022.15885.CPCA.A2.</p>
Simulation script and data for "Second sound in the crossover from the Bose-Einstein condensate to the Bardeen-Cooper-Schrieffer superfluid"
<p>This upload includes numerical scripts and data used for the results in the main text and the supplementary material of the paper "Second sound in the crossover from the Bose-Einstein condensate to the Bardeen-Cooper-Schrieffer superfluid", arXiv:2003.06847.</p>
Data: Collective excitations of a Bose-Einstein condensate of hard-core bosons and their mediated interactions: from two-body bound states to mediated superfluidity
<p>Data set for the manuscript: Collective excitations of a Bose-Einstein condensate of hard-core bosons and their mediated interactions: from two-body bound states to mediated superfluidity </p>
Direct production of fermionic superfluids in a cavity-enhanced optical dipole trap
<p>Data corresponding to the article "Direct production of fermionic superfluids in a cavity-enhanced optical dipole trap".</p>
Supplemental videos for submission "Dynamical mechanisms of vortex pinning in pure superfluid systems"
<p>Supplemental videos for submission "Dynamical mechanisms of vortex pinning in pure superfluid systems". A description for each of the videos can be found in the supplementary text of our submission.</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)
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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.