14 datasets

TUDOdata2026 · dataset · unknown

For the BCS theory of superconductivity, the electron-phonon interaction is transformed to an attractive electron-electron interaction in the vicinity of the Fermi energy only. At the same time, its formal derivation using a unitary transformation reveals that the electrons attract one another whenever their energies do not differ by more than the phonon energy ωD, independent of closeness to the

e-cienciaDatos2026 · dataset · unknown

The project focused on investigating the possibility to disentangling of the magnetic texture and SOC contributions to spin triplet superconudctivity in ferromagnet–superconductor–ferromagnet spin valves.

e-cienciaDatos2026 · dataset · unknown

The project focused on investigating the possibility of achieving giant thermoelectric effects controlled by the magnetization state in ferromagnet–superconductor–ferromagnet spin valves. Two folders: "Above Tc and Below Tc". Each of the folder contains several .dat files, which are sorted by the data collection time through the numerical index before de letter "H". Each of the .dat file contains

Bicocca Open Archive Research Data2026 · dataset

The dataset contains frequency-domain and time-domain measurements acquired from a microwave single-photon source and power-sensor device based on a superconducting transmon qubit, as reported in D. Labranca et al., “Reconstruction of single-photon emission with a self-calibrated wQED device based on a transmon qubit,” New Journal of Physics 27 (2025) 073001, https://doi.org/10.1088/1367-2630/ade7

RADAR + RADAR4Memory2026 · dataset

Charge-density-wave (CDW) order and superconductivity coexist in the kagome metals AV₃Sb₅~(A=K, Cs, Rb), raising fundamental questions about the mechanisms driving their intertwined phases. Here we combine high-resolution inelastic X-ray scattering with first-principles calculations to uncover the origin of CDW formation in CsV₃Sb₅. Guided by structure factor analysis, we identify a soft phonon mo

TU Wien Research Data2025 · dataset

This repository contains the data behind the manuscript Superconducting phase diagram of finite-layer nickelates Ndn+1NinO2n+2 https://arxiv.org/abs/2502.12144 . The superconducting critical temperature Tc is calculated vs. the number of layers n in Ndn+1NinO2n+2. We start with density functional theory, and include local correlations non-perturbatively by dynamical mean-field theory for n=2 to 7.

Edmond2023 · Astronomical catalogue · unknown

Data used for the production of plots in https://doi.org/10.48550/arXiv.2307.09935 . The raw data, resulting out of simulations of Kadanoff Baym equations, is already fully post processed with methods described in the paper and L. Grunwald's master thesis. Folder Figure2 contains data for quenches across the phase transition. Folders Figure3 and Figure4 contain data for the undercooled quenches.

TU Wien Research Data2023 · dataset

Context and Methodology This repository contains raw data for the paper "Absence of electron-phonon-mediated superconductivity in hydrogen-intercalated nickelates" in the field of computational condensed matter. It was uploaded with the purpose of making the data of the paper publicly available to ensure reproducibility of the calculations performed. The preprint is available on arXiv. The manuscr

RADAR + RADAR4Memory2023 · dataset

This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg–Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figures2 and 3 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy

RADAR + RADAR4Memory2023 · dataset

This program is intended to reproduce the results from the preprint "Error bounds for discrete minimizers of the Ginzburg--Landau energy in the high-$\kappa$ regime" by Benjamin Dörich and Patrick Henning The codes generates the lines in Figure 1 #### Requirements The program is tested with Ubuntu 20.04.5 LTS and Python 3.8.10 and the following version of its modules: - numpy - 1.17.4 - scipy - 1.

CaltechDATA2022 · dataset

#Data for Magic Angle Graphene Multilayers This dataset contains the experimental data and analysis from the following paper: Yiran Zhang*, Robert Polski*, Cyprian Lewandowski, Alex Thomson, Yang Peng, Youngjoon Choi, Hyunjin Kim, Kenji Watanabe, Takashi Taniguchi, Jason Alicea, Felix von Oppen, Gil Refael, and Stevan Nadj-Perge, "Promotion of Superconductivity in Magic-Angle Graphene Multilayers"

CaltechDATA2022 · dataset

This includes the raw measured data from an Oxford Triton fridge (most results) and Quantum Design PPMS. Use with the Jupyter notebooks made for sorting the data out and analyzing it. The data is used in two papers: H. Arora, R. Polski, Y. Zhang, et al., "Superconductivity in metallic twisted bilayer graphene stabilized by WSe2", Nature 583, 379–384 (2020). And another (soon to come out on the ArX

figshare2021 · Astronomical catalogue

A variety of ‘strange metals’ exhibit resistivity that decreases linearly with temperature as the temperature decreases to zero1,2,3, in contrast to conventional metals where resistivity decreases quadratically with temperature. This linear-in-temperature resistivity has been attributed to charge carriers scattering at a rate given by ħ/τ = αkBT, where α is a constant of order unity, ħ is the Plan

OpenMLTable · ARFF

Machine-learning dataset 'superconductivity' on OpenML: 21,263 instances, 82 features, 0 classs.