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187 results for “phase transitions”
Higher orders for cosmological phase transitions: a global study in a Yukawa model
<p>Data used in the article with preprint title: <a href="https://arxiv.org/abs/2310.02308">Higher orders for cosmological phase transitions: a global study in a Yukawa model by Oliver Gould and Cheng Xie</a></p><p>Contains file: dataPublishedExport.csv, which consists of the variable used in, and evaluations from the global parameter scan. More details of the content are specified in README.txt.</p>
First-order electroweak phase transitions: a nonperturbative update, dataset
<p>This deposit contains data from Monte-Carlo and Langevin simulations of the SU(2) Higgs model, related to the paper "First-order electroweak phase transitions: a nonperturbative update". Everything is contained within the archive file <em>su2higgs_data.tar.gz</em>, a tarball compressed with Gzip.</p> <p>The data covers four equilibrium quantities: the critical mass, the jump in the quadratic Higgs condensate, the jump in the quartic Higgs condensate, and the surface tension. It also includes data for the bubble nucleation rate. Further details on the contents of the dataset are explained in README.md.</p>
First-order electroweak phase transitions: a nonperturbative update, videos
<p>This deposit contains videos created from Monte-Carlo and Langevin simulations of the SU(2) Higgs model, related to the paper "First-order electroweak phase transitions: a nonperturbative update". There are two videos, both in MPEG-4 format. Both files show data at the parameter point <span class="math-tex">\(x=0.0152473\)</span>, <span class="math-tex">\(y=0.0303620\)</span>, <span class="math-tex">\(ag_3^2= 4/7.332605\)</span>, <span class="math-tex">\(L=60a\)</span>, <span class="math-tex">\(\eta=10\)</span>, using the notation of the paper.</p> <p>The file <em>smoothing.mp4</em> shows the process of smoothing, or coarse-graining, the Higgs field, according to the method described in the section "Visualising bubble nucleation" of the paper. The particular configuration chosen is from the separatrix between phases, i.e. it is a critical bubble.</p> <p>The file <em>trajectory.mp4</em> shows a trajectory of the Langevin time evolution of a configuration starting in the symmetric phase and nucleating into the broken phase. The configurations in this trajectory have been smoothed, or coarse-grained, 10 times.</p>
Raw data to "Scaling at quantum phase transitions above the upper critical dimension"
<p>This directory contains the data used to generate the numerical results in the work "Scaling at quantum phase transitions above the upper critical dimension[1]".</p> <p>To get an overview of the organization of the directory and a description of the data we recommend the README file.</p> <p>[1]: A. Langheld et al., Scaling at quantum phase transitions above the upper critical dimension, <a href="https://scipost.org/10.21468/SciPostPhys.13.4.088">SciPost Phys. <strong>13</strong> 088</a>, 2022.</p>
PhasAGE Training School 2 - Phase separations and transitions by viral proteins: from viral factories to interference with host cell functions- LECTURE
<p>The Training School 2 “Biomolecular condensates in cell function, aging and disease” is the <strong>second</strong> edition of a series of PhasAGE training activities.</p> <p> </p> <p>The main goal of this training school is to raise awareness and provide expertise on fundamental aspects of phase separation and formation of <strong>biomolecular condensates</strong>, specifically covering the importance of this process to cellular biology and its contribution to the aging process and age-related diseases.</p>
Nonperturbative study of the electroweak phase transition in the real scalar singlet extended Standard Model: dataset
<p>Collection of simulation results as presented in figures of the paper "Nonperturbative study of the electroweak phase transition in the real scalar singlet extended Standard Model".</p>
Research data for "Phase transitions in NiO during the Oxygen Evolution Reaction assessed via electrochromic phenomena through operando UV-Vis spectroscopy"
<p>This is the dataset supporting the publication "Phase transitions in NiO during the Oxygen Evolution Reaction assessed via electrochromic phenomena through operando UV-Vis spectroscopy", published by the authors in Electrochimica Acta (2024), 144626 under <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.electacta.2024.144626" target="_blank" rel="noreferrer noopener">doi.org/10.1016/j.electacta.2024.144626</a>.</p> <p>The data is ordered according to Figure numbers in the main manuscript and the electronic supplementary information.</p>
Continuous magnetic phase transition in artificial square ice
<p>Open access data set for manuscript "Continuous magnetic phase transition in artificial square ice" published in Physical Review B, <strong>99</strong>, 214430 (2019)</p>
Polyubiquitin ligand-induced phase transitions are optimized by spacing between ubiquitin units
<p>These are the original data used to make figures for the manuscript titled "Polyubiquitin ligand-induced phase transitions are optimized by spacing between ubiquitin units" by Sarasi Galagedera et al.</p> <p> </p>
Gravitational waves from a cosmological vacuum phase transition - scalar field value
<p>Movie based on Figure 2 of the paper <a href="https://doi.org/10.1103/PhysRevD.97.123513">Gravitational waves from vacuum first-order phase transitions: from the envelope to the lattice</a> [<a href="https://arxiv.org/abs/1802.05712">arXiv:1802.05712</a>]. This movie originally appeared as Supplemental Material associated with the paper.</p> <p><em>Caption based on original figure caption</em>: Slices through a simultaneous nucleation simulation with parameters <span class="math-tex">\(R_\mathrm{c} M = 7.15\)</span>, <span class="math-tex">\(N_\mathrm{b} = 64\)</span> and <span class="math-tex">\(R_* M = 56.32\)</span> showing the expansion, collision, and oscillatory phase of the scalar field. The scalar field value is shown in blue, and the gravitational wave energy density is shown in red. Note that the range of the colourbar for the gravitational wave energy density changes with time. During the oscillatory phase the gravitational wave energy density becomes very uniform and the “hotspots” are deviations on the sub percent level.</p> <p>The movie is also available on Vimeo, <a href="https://vimeo.com/255031420">here</a>.</p>
Datasets belonging to the paper "Dual phase patterning during a congruent grain boundary phase transition in elemental copper"
<p>This repository contains the raw data of the experimental STEM imaging and the data corresponding to the simulations and theoretical calculations of the paper "Dual phase patterning during a congruent grain boundary phase transition in elemental copper" available under <a href="https://doi.org/10.1038/s41467-022-30922-3">https://doi.org/10.1038/s41467-022-30922-3</a> .</p> <p>See the file README.md for a detailed description.</p>
Data and code for "Phase transitions in inorganic halide perovskites from machine learning potentials: The impact of size, rate, and the underlying exchange-correlation functional"
<p>This record contains databases with data from density functional theory calculations used for training a series of neuroevolution potentials (NEPs), which are also included here. Information is also included for how to access the databases and run the NEP models.</p> <p><strong>Databases</strong><br> The <code>*.db</code> files are databases with the results from density functional theory (DFT) calculations. These are sqlite databases in ase format, see <a href="https://wiki.fysik.dtu.dk/ase/tutorials/tut06_database/database.html">here</a> for more information. The <code>demo-database-access.py</code> script illustrates the most basic access.</p> <p><strong>Models</strong><br> The neuroevolution potential (NEP) models described in the publication can be found in the <code>nep-*.txt</code> files. They can be used in conjunction with the <a href="https://gpumd.org">GPUMD package</a>. The <a href="https://calorine.materialsmodeling.org">calorine package</a> provides a Python interface to GPUMD.</p> <p><strong>Primitive structures</strong><br> Several primitive structures in extended xyz format can be found in the <code>*.xyz</code> files. These structures have been relaxed using the NEP models included here. The <code>demo-for-using-structures-and-models.py</code> script illustrates how to access the structures and models.</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>
Supplementary files for "Effect of Alkali and Trivalent Metal Ions on the High-Pressure Phase Transition of [C2H5NH3]MI0.5MIII0.5(HCOO)3 (MI=Na, K and MIII=Cr, Al) Heterometallic Perovskites"
<p>DFT optimised structures and phonon data of [C<sub>2</sub>H<sub>5</sub>NH<sub>3</sub>] (ethylamonium, EtA) based formate perovskites EtANaCr, EtANaAl and EtAKCr. The zip-files Phonons-XXX contain the calculated force constants, the frequencies at the gamma point, the calculated density of states and the thermal properties.</p>
A fresh look at the gravitational-wave signal from cosmological phase transitions
<p>Supplemental material for the paper of the same name, arXiv:1909.11356 [hep-ph], consisting of (1) the set of model benchmark points used in our analysis and (2) our Jupyter notebook for generating the peak-integrated sensitivity plots shown in the paper.</p>
Generalized Approximate Message Passing Practical 2D Phase Transition Simulations Dataset
<p>This deposition contains the results from a simulation of phase transitions for various practical 2D problem suites when using the Generalised Approximate Message Passing (GAMP) reconstruction algorithm.</p> <p>The deposition consists of:</p> <ol> <li>Five HDF5 databases containing the results from the phase transition simulations (<em>gamp_practical_2d_phase_transitions_ID_[0-4]_of_5.hdf5</em>).</li> <li>The Python script which was used to create the databases (<em>gamp_practical_2d_phase_transitions.py</em>).</li> <li>A Python module with tools needed to run the simulations (<em>gamp_pt_tools.py</em>).</li> <li>MD5 and SHA256 checksums of the databases and Python scripts (<em>gamp_practical_2d_phase_transitions.MD5SUMS / gamp_practical_2d_phase_transitions.SHA256SUMS</em>).</li> </ol> <p>The HDF5 databases are licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/) . Since the CC BY 4.0 license is not well suited for source code, the Python scripts are licensed under the BSD 2-Clause license (http://opensource.org/licenses/BSD-2-Clause) .</p> <p><strong>The files are provided as-is with no warranty as detailed in the above mentioned licenses.</strong></p>
Generalized Approximate Message Passing Practical 2D Phase Transition Simulations Dataset 2
<p>This deposition contains the results from a simulation of phase transitions for various practical 2D and 3D problem suites when using the Generalised Approximate Message Passing (GAMP) reconstruction algorithm.</p> <p>The deposition consists of:</p> <ol> <li>Five HDF5 databases containing the results from the phase transition simulations (<em>gamp_practical_2d_phase_transitions_ID_[0-4]_of_5.hdf5</em>).</li> <li>The Python script which was used to create the databases (<em>gamp_practical_2d_phase_transitions.py</em>).</li> <li>A Python module with tools needed to run the simulations (<em>gamp_pt_tools.py</em>).</li> <li>MD5 and SHA256 checksums of the databases and Python scripts (<em>gamp_practical_2d_phase_transitions.MD5SUMS / gamp_practical_2d_phase_transitions.SHA256SUMS</em>).</li> </ol> <p>The HDF5 databases are licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/) . Since the CC BY 4.0 license is not well suited for source code, the Python scripts are licensed under the BSD 2-Clause license (http://opensource.org/licenses/BSD-2-Clause) .</p> <p><strong>The files are provided as-is with no warranty as detailed in the above mentioned licenses.</strong></p>
Data from: Topological transitions of the generalized Pancharatnam-Berry phase
<p>Distinct from the dynamical phase, in a cyclic evolution, a system's state may acquire an additional component, a.k.a. geometric phase. Recently, it has been demonstrated that geometric phases can be induced by a sequence of generalized measurements implemented on a single qubit. Furthermore, it has been predicted that such geometric phases may exhibit a topological transition as a function of the measurement strength. We demonstrate and study this transition experimentally by employing an optical platform where the qubit is represented by the polarisation of light and the weak measurement is performed by means of coupling with the spatial degree of freedom. Our protocol can be interpreted in terms of environment-induced geometric phases, whose values are topologically determined by the environment-system coupling strength. Our results show that the two limits of geometric phase induced by either sequences of either weak or projective measurements are topologically distinct. </p>
Perturbative effective field theory expansions for cosmological phase transitions, dataset
<p>This dataset is the work of Oliver Gould and Tuomas V.I. Tenkanen. It collects the numerical data from the paper <a href="https://arxiv.org/abs/2309.01672">"Perturbative effective field theory expansions for cosmological phase transitions"</a> (2023). It primarily contains data from perturbative calculations of the thermal evolution of the real-triplet extended Standard Model at two benchmark parameter points.</p><p>In addition, for comparison to the perturbative results, we have included data of the scalar quadratic condensates as a function of temperature from the lattice Monte-Carlo simulations of Lauri Niemi, Michael J. Ramsey-Musolf, Tuomas V.I. Tenkanen and David J. Weir, from the paper <a href="https://doi.org/10.1103/PhysRevLett.126.171802">"Thermodynamics of a Two-Step Electroweak Phase Transition"</a> (2020). We thank the authors for granting permission to reproduce this data here.</p><p>Everything is contained within the archive file <a href="https://zenodo.org/api/records/10353066/draft/files/triplet_two_step_data.tar.gz/content">triplet_two_step_data.tar.gz</a>, a tarball compressed with Gzip. For further details and for the context of this dataset, see the above papers. Details of the conventions used in the dataset can be found in the accompanying README.md file.</p>
Experimental X-ray Diffraction Data for "Cooling-Induced Order-Disorder Phase Transition in CsPbBr3 Nanocrystal Superlattices"
<p>Experimental X-ray diffraction data: </p> <p>-- temperature-dependent diffraction patterns (theta:2theta, rocking curves) for C18 and C8 CsPbBr3 nanocrystal superlattice samples;</p> <p>-- room temperature diffraction patterns (theta:2theta, rocking curves) for C6, C8, C10, C12, and C18 CsPbBr3 nanocrystal superlattices;</p> <p>in all files, first column is angle in degrees and the second column is intensity.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.