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187 results for “Phase Transition”
Raw Data and Codes for the Article "Ultrafast and persistent photoinduced phase transition at room temperature monitored by streaming powder diffraction"
<p>Dataset for the article "Ultrafast and persistent photoinduced phase transition at room temperature monitored by streaming powder diffraction", containing:</p><ul><li>The data and the codes used to generate the figures</li><li>The raw data used for the study, and the codes to analyze it, from raw diffraction images to refinement parameters</li></ul>
Data Repository for Nanoscale magnetism and magnetic phase transitions in atomically thin CrSBr
<p><span>Data repository for: Nanoscale magnetism and magnetic phase transitions in atomically thin CrSBr</span></p> <p><span><span>This data repository contains the raw data as measured on the experimental setup, simulations, analysis scripts and plotting scripts to reproduce the plots shown in the manuscript’s figures.</span></span></p> <p><span><span>Code for plotting: Matlab R2021b<br>The raw data is either stored as MatLab structs (.mat) or accessible through the .json files.</span></span></p> <p><span><span>See ReadMe.txt for more information.</span></span></p>
The dynamical bulk boundary correspondence and dynamical quantum phase transitions in the Benalcazar-Bernevig-Hughes model
<p>Data in the form of mx and dat files for "The dynamical bulk boundary correspondence and dynamical quantum phase transitions in the Benalcazar-Bernevig-Hughes model", T. Masłowski, and N. Sedlmayr<br>Journal of Physics: Condensed Matter 36, 335401 (2024), <a href="https://doi.org/10.1088/1361-648X/ad4a16">https://doi.org/10.1088/1361-648X/ad4a16</a>.</p> <p>Included are data for the return rate (RR), Fisher zeroes, and Loschmidt eigenvalues (MEV). Numbers in parentheses refer to {100m,100m'} and Lx and Ly are the system sizes. Within the return rate files the third column is the derivative of the return rate.</p>
Vortex loop dynamics and dynamical quantum phase transitions in 3D fermion matter
<p>Supplemental Material and data corresponding to the article 'Vortex loop dynamics and dynamical quantum phase transitions in 3D fermion matter'.</p> <p>File description:</p> <ul> <li>_sm.pdf - Supplemental Material to the article</li> <li>fig_2_rate.txt - rate function corresponding to Fig. 2</li> <li>fig_3_rate.txt - rate function $\lambda$ corresponding to Fig. 3</li> <li>fig_3_rate_G.txt - rate function $\lambda_G$ corresponding to Fig. 3</li> <li>fig_3a.txt - phase of the Green's function corresponding to Fig. 3a</li> </ul> <p> </p>
From structural phase transition to highly sensitive lifetime based luminescent thermometer: multifaceted modification of thermometric performance in Y0.9xNdxYb0.1PO4 nanocrystals
<p>The development of a highly sensitive luminescent thermometer requires a deep understanding of the correlation between the structural properties of the host material and the temperature-dependent luminescence properties of lanthanide emitters embedded in these matrices. In some cases, the presence or increased concentration of the co-dopant ions can alter not only the spectral features, but may additionally cause far-ranging structural changes that further, even more tremendously, modify the luminescence properties of the phosphor. In this work, the temperature dependent luminescence kinetics in response to structural changes induced by increasing Nd<sup>3+</sup> ion doping in Y<sub>0.9−<em>x</em></sub>Nd<sub><em>x</em></sub>Yb<sub>0.1</sub>PO<sub>4</sub> nanocrystals are investigated, which correspondingly demonstrated phase transitions from xenotime to monazite structures. Consequently, the low temperature lifetime of the <sup>2</sup>F<sub>5/2</sub> state of Yb<sup>3+</sup> elongates. Moreover, by increasing the Nd<sup>3+</sup> amount, the relative sensitivity of the Yb<sup>3+</sup> luminescence lifetime-based luminescent thermometer was enhanced and, simultaneously, the temperature at which high sensitivity is achieved was reduced. The maximal relative sensitivity was found to be 2%/K at 273 K for Nd<sub>0.9</sub>Yb<sub>0.1</sub>PO<sub>4</sub> nanocrystals.</p>
Hyperactive antifreeze protein from the beetle Rhagium mordax stabilizes model lipid membranes during temperature dependent phase transition
<p>Data from the study submitted in the paper Hyperactive antifreeze protein from the beetle Rhagium mordax stabilises model lipid membranes during temperature-dependent phase transition</p> <p>Data Includes;</p> <p>1. DSC results of RmAFPs interactions with liposomes showing Tm, ΔHcal and Full width at half maximum (FWHM) as well as Phase transitions thermographs by DSC on 1.5mg/ml SUV liposomes either with 60μM (or 0.75mg/ml) RmAFPs or without RmAFPs as control.</p> <p>2. fluorescence spectroscopy data, a complete compilation</p>
Original data for publications: Study of the Temperature- and Pressure-Dependent Structural Properties of Alkali Hydrido-closo-borate Compounds, and: Pressure-induced phase transitions in Na2B12H12, structural investigation on a candidate for solidstate electrolyte
<p>Original data for publications (part of University of Geneva only):</p> <p>Study of the Temperature- and Pressure-Dependent Structural<br> Properties of Alkali Hydrido-closo-borate Compounds<br> Inorg. Chemistry 2022 61, 5224-5233, <br> https://doi.org/10.1021/acs.inorgchem.1c03681</p> <p>Pressure-induced phase transitions in Na2B12H12,<br> structural investigation on a candidate for solidstate electrolyte<br> Acta Cryst. B 2019 B75 406-413<br> https://doi.org/10.1107/S2052520619004670</p> <p> </p>
mRNA lipid nanoparticle phase transition
<p>The repository contains input files and data from the manuscript:</p> <p>Trollmann, Marius F.W. and Böckmann, Rainer A. "mRNA lipid nanoparticle phase transition", Biophysical Journal (2022) <a href="https://doi.org/10.1016/j.bpj.2022.08.037">https://doi.org/10.1016/j.bpj.2022.08.037</a></p> <p> </p> <p><strong>> Periodic membrane patches</strong></p> <p>Equilibrated structures, .mdp and .top files for the simulations of the periodic Comirnaty membrane patches. (microsecond = us)</p> <p>>> periodic_patches/low_ph/single_patch: </p> <p>~ System A: Three replicas (4.1 us, 3.0 us and 3.0 us) of the self-assembled Comirnaty lipid mixture with the protonated aminolipid</p> <p>>> periodic_patches/low_ph/quad_patch: </p> <p>System B: A quadruplicated system A patch simulated for 1.0 us</p> <p>>> periodic_patches/dspc_chol:</p> <p>System C: Binary membrane including DSPC and 43mol% cholesterol</p> <p>>> periodic_patches/neutral_ph:</p> <p>System D: A deprotonated system B patch simulated for 0.633 us</p> <p>>> periodic_patches/mrna_selfassembly:</p> <p>System E: Structures of the self-assembled Comirnaty lipid mixture with the modified mRNA strand</p> <p>+ periodic_patches/mrna_selfassembly/selfassembly: Structures of the mRNA-lipid mixture after self-assembly with protonated aminolipids</p> <p>+ periodic_patches/mrna_selfassembly/set1: Quadruplicated simulation systems after deprotonation of distant aminolipids (set 1, see paper)</p> <p> + periodic_patches/mrna_selfassembly/set2: Quadruplicated simulation systems after deprotonation of random aminolipids (set 2, see paper)</p> <p>+ periodic_patches/mrna_selfassembly/set3: Simulation systems after deprotonated of all aminolipids (systems were not quadruplicated) (set 3, see paper)</p> <p> </p> <p><strong>> Lipid nanoparticles</strong></p> <p>Equilibrated structures, .mdp and .top files for the simulations of the lipid nanoparticles. (microsecond = us)</p> <p>>> nanoparticles/lnp_nopegs:</p> <p>System F: Structures of the lipid nanoparticles with capped PEGylated lipids</p> <p>>> nanoparticles/lnp_pegs:</p> <p>System G: Structure of the lipid nanoparticle with complete PEGylated lipids</p> <p> </p> <p><strong>> Topologies</strong></p> <p>- topology/DSPC.top - Parameters for the standard phospholipid from the CHARMM36 forcefield</p> <p>- topology/CHOL.top - Parameters for cholesterol from the CHARMM36 forcefield</p> <p>- topology/alc.itp, topology/alc.prm - Parametrization files of the PEG-ylated lipid ALC-0159 obtained from the CGenFF-Webserver</p> <p>- topology/alc_neutral.itp - Parameters for the neutral aminolipid ALC-0315 obtained from the CGenFF-Webserver</p> <p>- topology/alc_protonated.itp - Parameters for the protonated aminolipid ALC-0315 obtained from the CGenFF-Webserver</p> <p>- topology/modRNA.top - Parameters for the short modified mRNA strand. Uridine was replaced with N1-Methylpseudouridine. The parameters were not included in the standard CHARMM36 forcefield (version July 2020) and were manually added to the forcefield.</p> <p>- topology/ALC_SHORT_CORRECT_IDX.itp - Parameters for the capped PEG-ylated lipid ALC-0159 -> Parameters were manually adapted to fit the shortened structure.</p> <p>- topology/charmm36-jul2020.ff - CHARMM36 forcefield parameters (version July 2020) with included parameters for N1-Methylpseudouridine.</p> <p>- topology/cgenff_output - Output from the CGenFF-Webserver to parametrize the aminolipid (ALC-0315) and the PEGylated-lipid (ALC-0159)</p> <p> </p> <p> </p>
Final data for paper "A nonperturbative test of nucleation calculations for strong phase transitions"
<p>In this Zenodo deposit we include the data used to make three key figures in our paper, showing our final nucleation rate results. The columns of the raw data files are labelled. In each case, the quantity being tabulated is the logarithm of the nucleation rate, typically labelled <em>logGamma</em> in our data files. We also include plotting scripts to generate the figures from the data.</p> <ul> <li> <p>The directory <code>a_limit</code> contains the extrapolation to zero lattice spacing, with the raw data in the file <code>a_limit_data</code>. The temperature <em>T</em> is fixed to our benchmark point of 93.121 GeV. The linear size <em>Nx</em> and the lattice spacing <em>a</em> are varied to give a constant total volume. The file <code>a_limit_lin_op_data</code> contains our comparison measurement using the linear order parameter. The script <code>plot_a_limit.py</code> performs a nonlinear least squares fit to a cubic, writes the continuum extrapolated nuclation rate result to stdout, and plots the data and the fit.</p> </li> <li> <p>The directory <code>vol_limit</code> contains the extrapolation to infinite volume, with the raw data in the file <code>vol_limit_data</code>. Here the temperature <em>T</em>=93.121 GeV and lattice spacing <em>a</em>=1.5 are fixed, while the linear size <em>Nx</em> is varied. The script <code>plot_vol_limit.py</code> performs a nonlinear least squares fit to an exponential function, writes the infinite volume limit nucleation rate result to stdout, and again plots the data and the fit.</p> </li> <li> <p>The directory <code>rate_reweighted</code> contains the data needed to plot the nucleation rate as a function of temperature. This plot combines lattice data and various perturbative estimates of the nucleation rate. The lattice data are in three files:</p> <ul> <li><code>rate_lattice_BM2_vol_limit</code> contains the infinite volume limit result at the simulated lattice temperature <em>T</em>=93.121 GeV and with lattice spacing <em>a</em>=1.5.</li> <li><code>rate_lattice_BM2</code> reweights the lattice data to different temperatures and then takes the infinite volume limit.</li> <li><code>rate_lattice_BM2_Nx40_a1.5</code> contains data reweighted from the simulation at fixed volume <em>Nx</em>=40. In each lattice data file, the temperature, continuum potential parameters and nucleation rate are given.</li> </ul> <p>The perturbative results are in three files, <code>rate_perturbative_BM2_rg_low</code>, <code>rate_perturbative_BM2</code> and <code>rate_perturbative_BM2_rg_high</code>, corresponding to the three RG scales mentioned in the text. These files again contain the temperature and continuum lattice parameters. The column <em>eps</em> gives the dimensionless loop expansion parameter around the metastable phase within the EFT. The column <em>logGamma_0</em> gives the tree level result, <em>logGamma_A</em> and <em>logGamma_B</em> the LPA results with the two options for dealing with the imaginary parts described in the text, and <em>logGamma_1</em> is the one loop result. The script <code>plot_rate_reweighted.py</code> plots all of these data together. For the tree level and one loop cases, the error bands plotted correspond to the minimum and maximum values of the nucleation rate across the three RG scales. For the LPA results, the bands include the extreme values for all six options including the two approaches to handling the imaginary parts.</p> </li> </ul> <p>In each case, the plots are saved to PDF and PNG plot files.</p> <p>The figures used in this deposit and in the paper used the following package versions (obtained with the <code>pipreqs</code> package):</p> <pre><code>matplotlib==3.5.1 numpy==1.21.5 scipy==1.8.0 seaborn==0.11.2</code></pre> <p>Note that in <a href="https://doi.org/10.5281/zenodo.10891524">Version v1</a> there was an error in the normalisation of our perturbative tree-level and LPA results which has now been fixed.</p>
Observations of a PT-like phase transition and limit cycle oscillations in non-reciprocally coupled optomechanical oscillators levitated in vacuum
<p>Trajectories of optically levitated particles in vacuum. Trajectories are recorded using quadrant photodiode and ultra-fast CMOS camera. The readme file with more detailed description is added.</p>
Imaging material yielding and phase transitions in shock-compressed matter
<p>Extended data sources for manuscript "Imaging material yielding and phase transitions in shock-compressed matter"</p>
Fisher zeroes and dynamical quantum phase transitions for two- and three-dimensional models
<p>Data for the publication <em>Fisher zeroes and dynamical quantum phase transitions for two- and three-dimensional models</em>. Included are data for return rates and Fisher zeroes. The names of the data files contain all metadata necessary for specifying the type of data, with a list of the paramters used. For more details on the models and paramters see the article.</p> <ul> <li>Firstly the three models are considered labelled by <em>Kit</em> for the 2D spinless px+ipy topological superconductor, <em>Sq</em> for the 2D spinfull topological superconductor, and <em>3D</em> for the 3D topological insulator.</li> <li>After <em>_N_</em> the system size is written, referring the number of sites along one direction (for finite size calcualtions only).</li> <li><em>RR</em> refers to the return rate. For <em>Kit</em> the columns are $t$, $l(t), $\dot{l}(t)$, $\ddot{l}(t)$. If only two columns exit then there is just $t$, $\dot{l}(t)$. For <em>Sq</em> the columns are $t$, $l(t), $\dot{l}(t)$, $|\lambda_0(t)|$. For <em>3D</em> the columns are $t$, $\dot{l}(t)$, $\ddot{l}(t)$.</li> <li><em>Density</em> refers to the density of Fisher zeroes along the real time axis, with the columns being simply time and density.</li> <li><em>Fisher</em> to Fisher zeroes in the complex plane with <em>kx</em>, etc meaning it is resolved along this momentum direction. The columns are the real and imaginary parts of the complex time argument.</li> <li><em>Critical_k</em> are the critical momenta.</li> <li><em>Critical_k_En</em> lists the energy for each critical momenta in the matching <em>Critical_k </em>file.</li> <li>For <em>Kit</em> the list of quench parameters are 100 times {$\mu_0$, $\Delta_0$, $\mu_1$, $\Delta_1$}.</li> <li>For <em>Sq</em> the list of quench parameters are 100 times {$\nu_0$, \nu_1$, $\mu_0$, $\Delta_0$, $\alpha_0$, $B_0$, $\mu_1$, $\Delta_1$, $\alpha_1$, $B_1$}.</li> <li>For <em>3D</em> the list of quench parameters are 100 times {$v_0$,$w_0$,$v_1$,$w_1$}.</li> <li>For <em>Fisher</em> data <em>branch</em> labels naturally the branch p.</li> <li><em>Zoom</em>, etc, label different zooms in differnet regions, as made explicit by the times inside the files.</li> </ul> <p>This work was supported by the National Science Centre (NCN, Poland) under the grant 2019/35/B/ST3/03625, by the German Research Council (DFG) via the Re- search Unit FOR 2316 and by the National Science and Engineering Resource Council (NSERC) of Canada via the Discovery Grant program.</p>
Data from: Transitions between phases of genomic differentiation during stick-insect speciation
Speciation can involve a transition from a few genetic loci that are resistant to gene flow to genome-wide differentiation. However, only limited data exist concerning this transition and the factors promoting it. Here, we study phases of speciation using data from >100 populations of 11 species of Timema stick insects. Consistent with early phases of genic speciation, adaptive colour-pattern loci reside in localized genetic regions of accentuated differentiation between populations experiencing gene flow. Transitions to genome-wide differentiation are also observed with gene flow, in association with differentiation in polygenic chemical traits affecting mate choice. Thus, intermediate phases of speciation are associated with genome-wide differentiation and mate choice, but not growth of a few genomic islands. We also find a gap in genomic differentiation between sympatric taxa that still exchange genes and those that do not, highlighting the association between differentiation and complete reproductive isolation. Our results suggest that substantial progress towards speciation may involve the alignment of multi-faceted aspects of differentiation.
Data for "Observation of a Superradiant Quantum Phase Transition in an Intracavity Degenerate Fermi Gas"
<p>This dataset is corresponding to the article "Observation of Superradiant Quantum Phase Transition in an Intracavity Degenerate Fermi Gas".</p>
Revisiting the HO●-initiated oxidation of L-proline amino acid in the aqueous phase – Influence of transition metal ions
<p>The oxidation of L-proline (Pro) by HO<sup>●</sup> radical in water and the influence of transition metal ions on this process has been revisited by using the density functional theory (DFT) method at the M05-2X/6-311++G(3df,3pd)//M05-2X/6-311++G(d,p) level of theory at the temperature of 298.15 K. HO<sup>●</sup>-initiated oxidation of Pro via hydrogen atom transfer (HAT) reactions is more favourable at the b- and g-carbon than at the a- and d-carbon. The total branching ratios are 44.6% and 39.5% for the β- and γ-carbon and 11.5% and 4.2% for the a- and d-carbon, respectively. The overall rate constant at 298.15 K is 6.04 × 10<sup>8</sup> M<sup>-1</sup> s<sup>-1</sup>. In addition, Pro tends to form the stable mono- and bi-dentate complexes with both Fe and Cu ions via the –COO functional group of dipole-salt form. The most stable Cu(II)-Pro complexes have high potential oxidant risks by enhancing the HO<sup>●</sup> radical formation in the presence of reducing agents such as superoxide anion or ascorbate anion. Besides, the complexes of the metal at a high oxidation state, i.e., Fe(III)-Pro and Cu(II)-Pro, show their ability to be oxidized by HO<sup>●</sup> radical via HAT reactions but with a lower rate constant than that of free Pro. Unsurprisingly, the oxidation enhancement is insignificant for SET reactions with almost negligible rate constants. In contrast, the rate constants of SET reactions of low oxidation state complexes (i.e., Fe(II)-Pro and Cu(I)-Pro) are faster than the oxidation rate of free ligands, and thus, these complexes promote the oxidation of Pro.</p>
First-order phase transitions in Yang-Mills theories and the density of state method---data and analysis code release
<p>Data release for paper: Lucini, B., Mason, D., Piai, M., Rinaldi, E., & Vadacchino, D. (2023). First-order phase transitions in Yang-Mills theories and the density of state method. arXiv preprint arXiv:2305.07463.</p> <p>This data release comprises of:</p> <p>Importance sampling results: Input and output files for PureGauge file of HiRep (https://github.com/claudiopica/HiRep) and csv files contains analysis of results.</p> <p>LLR results: Input files for LLR_HB for a modified version of HiRep for the heat bath LLR algorthim with umbrella sampling (https://github.com/dave452/Hirep-LLR-SU) and some csv files containing analysis of output.</p> <p>Analysis code within the LLRAnalysis.zip, it contains the code and the conda environment.</p>
MetForTC-Phase transition plateau measurements of the new Al slim cell
<p>The main goal was to test whether the new cells improve the reliability of measurements for in-situ conditions, and to work on characterisation of one thermocouple using new designed Al cell.The measurement in the Three-zone furnace was made in a quartz tube that was ordered according to the dimensions of the fixed point cell produced in ČMI and according to the dimensions of the openings in the three zones of the furnace.</p> <p>Equipment used: Aluminium Fixed Point Cell (designed and produced by ČMI), 3 Zone High Temperature Furnace – 465, ISOTECH Oberon Furnace, ISOTECH, Nanovoltmeter, 2182A, Keithley, Rotameter, FT-052-08-ST-VN, Omega S-typeThermocouple, ISOTECH, 30474/6.</p>
MetForTC-Examples of phase transition plateau measurements of the new Sn miniature cells- 2023-07-27
<p>The data presents the characterization of the prototype of the Sn fixed-point mini-cell and the associated reference thermocouple type SThe cells was utilised for the experimental characterisation for drift under different thermal conditions in three zone furnaces and dry-block calibrators., which was made by TUBITAK and measured by Lab1,Lab2 and Lab3.</p>
Data from: Comparison of carbon and nitrogen accumulation rate between bog and fen phases in a pristine peatland with the fen-bog transition
<p>Long-term carbon and nitrogen dynamics in boreal peatlands are affected by both vegetation production and decomposition processes. Here, we examined the carbon accumulation rate (CAR), nitrogen accumulation rate (NAR) and δ<sup>13</sup>C, δ<sup>15</sup>N of plant residuals in a peat core dated back to ~8500 cal yr BP in a temperate peatland in Northeast China. Impacted by the tephra during 1160 and 789 cal yr BP and climate change, the peatland changed from a fen dominated by vascular plants to a bog dominated by <em>Sphagnum mosses</em>. We used the Clymo model to quantify peat addition rate and decay constant for acrotelm and catotelm layers during both bog and fen phases. Our studied peatland was dominated by <em>Sphagnum fuscum</em> during the bog phase (789 ~ -59 cal yr BP) and lower accumulation rates for the upper sections in the acrotelm layer during this phase, suggesting the dominant role of volcanic eruption in the CAR of the peat core. Both mean CAR and NAR were higher during the bog phase than during the fen phase in our study, consistent with the results of the only one similar study in the literature. Because the input rate of organic matter was considered to be lower during the bog phase, the decomposition process must have been much lower during the bog phase than during the fen phase and potentially controlled CAR and NAR. During the fen phase, CAR was also lower under higher temperature and summer insolation, conditions beneficial for decomposition. δ<sup>15</sup>N of <em>Sphagnum </em>hinted that nitrogen fixation had positive effect on nitrogen accumulation, particular in recent decades. Our study suggested that decomposition is more important for carbon and nitrogen sequestration than production in peatlands in most conditions and if future climate changes or human disturbance increase decomposition rate, carbon sequestration in peatlands will be jeopardized.</p>
Data sets for "Dynamical bulk-boundary correspondence and dynamical quantum phase transitions in higher-order topological insulators"
<p>Data sets for the return rates and Loschmidt eigenvalues for the paper "Dynamical bulk-boundary correspondence and dynamical quantum phase transitions in higher-order topological insulators". Included are data for both bulk calculations and finite open systems labelled OBC. Data files are named with the quench parameters, see the article for details.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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