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28 results for “vanadium”
Dataset for "Methodology for fast testing of carbon-based nanostructured 3D electrodes in vanadium redox flow battery"
<p>Here, we describe a technique for integrating carbon-based rod-like nanomaterials into a vanadium redox flow battery and a methodology for fast nanomaterial performance testing. The technique is based on creating a fixed nanomaterial bed sandwiched between two graphite felt electrodes, forming a 3D flow-through electrode in the battery. Performing various positive and negative control experiments, we show the beneficial effect of a nanostructured bed on the primary battery characteristics obtained from short-term electrochemical experiments. We then characterize carbon nanotubes exhibiting promising electrochemical behavior in vanadium electrolytes, as observed in our previous study. The load curves obtained from charge-discharge steps at various current densities and electrolyte flow rates revealed considerable differences in the performance of the tested materials, with few-walled carbon nanotubes reaching unsurpassable characteristics. Although developed for vanadium redox flow batteries, the method enables testing tube-like and rod-like (nano-)materials as electrodes for other flow battery systems. </p>
Short-Range Electronic Interactions between Vanadium and Molybdenum in Bimetallic SAPO‑5 Catalysts Revealed by Hyperfine Spectroscopy
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements, Computer Simulation and Analysis</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DTA</strong>, and <strong>m</strong>.</li> <li>Information on <strong>origin of the data</strong>: <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong> and <strong>DTA</strong></li> <li>EPR spectroscopic simulation and analyses with filename extension<strong> m</strong></li> </ul> </li> <li>Are the data <strong>generated</strong> (e.g. by a machine) or <strong>collected</strong> (e.g. by means of a survey)? <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li>Q-band Pulsed-EPR spectroscopic measurements were generated by ELEXYS 580 EPR spectrophotometer equipped with ER5106QT cavity and ER035 M NMR gaussmeter produced by Bruker.</li> </ul> </li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP4_20230612_01_CW </strong>folder includes CW-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; simulations in m format.</li> <li>Files in <strong>PARACAT_WP4_20230612_02_Pulse</strong> folder includes Pulsed-EPR spectroscopic measurements and computer simulations/analyses, original data are in DTA/DSC formats; files in m format were used to process the data.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance, <strong>CW</strong> – Continuous Wave EPR, <strong>HYSCORE </strong>– HYperfine Sublevel CORrelation spectroscopy</li> <li>definitions of variables: <strong>Magnetic field, Temperature</strong></li> <li>units of measurement: <strong>Gauss (G), K</strong></li> </ul> </li> </ul>
Redox paradox of vanadium in Tavorite LiVPO4F1-yOy : supplementary materials
<p>Vanadyl-type defects in vanadium oxy-fluoride phosphates confer interesting properties to these materials as positive electrodes in Li-ion or Na-ion batteries... <strong>List figures :</strong></p> <p><strong>2019-122-SM-FIGS1 :</strong> <strong>(a)</strong> Comparison of the SXRPD patterns obtained for the pristine LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> material <em>in situ</em>, in the electrochemical cell, (blue) and in a sealed capillary (black). The symbols mark peaks not belonging to the LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> phase (originating from lithium metal, beryllium, aluminum, PTFE, separator and Li<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> impurity). The grey areas represent the excluded 2θ regions for Rietveld refinement. <strong>(b)</strong> Comparison between voltage profiles obtained <em>in situ </em>in electrochemical cells during the XRD and XAS experiments and in coin cells. The small features seen at 3.7 and 4.1V originate from the Li<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> impurity.</p> <p><strong>2019-122-SM-FIGS2 :</strong> Rietveld refinement of (a) LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> and (b) Li<sub>0.45</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub>, the PTFE contribution is represented by *. For (b) two phases are required to fit the pattern: LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (91(1) w%, blue markers) and Li<sub>0.25</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (9(1) w% brown markers).</p> <p><strong>2019-122-SM-FIGS3 :</strong> Rietveld refinement of the last pattern obtained <em>operando</em> after Lithium deintercalation from LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (#126, corresponding to an overall composition of Li<sub>0.2</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub>): the refinement was performed considering a mixture of 3 phases, Li<sub>0.45</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (orange), Li<sub>0.25</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (brown) and VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (red), with their contributions being of 17(1), 58(1) and 25(1) wt.%, respectively. The peak highlighted by # corresponds to the LiV<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> impurity (<em>i.e.</em> delithiated form of Li<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub>). For the refinement, the profile and the atomic position of the secondary phases (i.e. LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55 </sub>and VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub>) have been fixed based on their individual refinements (i.e. pattern #86 and <em>ex situ fully charged </em>pattern) whereas the cell parameters, profile and atomic positions of Li<sub>0.25</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55 </sub>have been refined independently.</p> <p><strong>2019-122-SM-FIGS4 : (a)</strong> SXRPD patterns obtained <em>operando</em> during lithium extraction from LiVPO<sub>4</sub>F<sub>0.25</sub>O<sub>0.75</sub>, <strong>(b)</strong> Selected SXRPD patterns at specific compositions.</p> <p><strong>2019-122-SM-FIGS5 : </strong>Evolution of the volume changes for each Li<sub>x</sub>VPO<sub>4</sub>F<sub>1-y</sub>O<sub>y</sub> sample as function of x during the first step of the charge (i.e. until Δx = y).</p> <p><strong>2019-122-SM-FIGS6 : (a)</strong> The evolution of the pre-edge intensity (obtained by integration of the signal from 5464 to 5474 eV) and the edge position (taken at half jump) upon cycling.<strong> (b)</strong> The variance plot justifying the use of three components.</p> <p><strong>2019-122-SM-FIGS7 : (a)</strong> V K-edge XANES spectra of several Tavorite-type references: LiV<sup>III</sup>PO<sub>4</sub>F (black line), LiV<sup>IV</sup>PO<sub>4</sub>O (grey line), V<sup>IV</sup>PO<sub>4</sub>F (orange line) and V<sup>V</sup>PO<sub>4</sub>O (red line) and LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (purple line). <strong>(b)</strong> The enlargement of the pre-edge region with the typical energy position of each pre-edge contributions (<em>i.e.</em> F-V<sup>3+</sup>O<sub>4</sub>-F, O=V<sup>4+</sup>O<sub>4</sub>—O and O=V<sup>5+</sup>O<sub>4</sub>—O)</p> <p><strong>2019-122-SM-FIGS8 : </strong>Magnitude of the Fourier transforms of the reconstructed components obtained by MCR-ALS (k-range: 2.7-12.7 Å<sup>-1</sup>, sine window). Li<sub>x</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> with x = 1, 0.45 and 0 respectively for components #1, #2 and #3. The black lines represent the fit done in the R space (R range: 1.0 – 2.05 Å, dR = 0.1 Å, sine window).</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Advancing Vanadium Redox Flow Battery Analysis: A Deep Learning Framework for High-Throughput 3D Visualization and Bubble Quantification via Synchrotron X-ray Tomography
<p>Dataset and model of UTILE-Redox - Deep Learning based Tool for Autonomous 3D Bubble Analysis of Vanadium Flow Batteries from Synchrotron X-ray Imaging. This project focuses on the deep learning-based automatic analysis of Vanadium Redox Flow Batteries (VRFB) Synchrotron X-ray tomographies. This repository contains the Python implementation of the UTILE-Redox software for automatic volume analysis, feature extraction, and visualization of the results.</p>
Raw Data for "Vanadium incorporation in ferrite nanoparticles serves as electron buffer and anisotropy tuner in catalytic and hyperthermia applications"
<p>Raw data for VxFe2-XO4 magnetic nanoparticles: characterization,magnetic hyperthermia experiments in polyacrylamide gels and EPR reactive oxygen species quantification after exposure to H2O2.</p>
Unraveling community adaption and survival strategy of soil microbiome under vanadium stress in nationwide mining environments
<p class="Abstract"><span><span>The vanadium (V) smelters soil harbor wide ranges of microorganisms, whose survival relies on their metabolic activities under stress.</span><span> Nonetheless, the characteristics and functions of soil microbiome in V mining environments have not been recognized at a continental scale. This study investigates microbial diversity, community assembly and metabolic traits of soil microbiome across 90 V smelters in China. A decrease in alpha diversity is observed, along with community variation, which is also jointly explained by other environmental, climatic and geographic factors. Null model shows that V promotes homogeneous selection. V also mediates co-occurrence patterns, with increased positive interspecific associations under higher V concentrations (</span><span>></span><span>559.6 mg/kg)</span><span>, e.g., <em>f_Gemmatimonadaceae</em>, <em>Nocardioides</em>, <em>Micromonospora</em>, <em>Rubrobacter</em>.</span><span> In addition, 67 metagenome assembled genomes are retrieved via metagenomic analysis. The metabolic pathways of keystone taxa are disentangled to reveal their putative involvement in the V(V) reduction process. Nitrate and nitrite reductase (<em>nirK</em>, <em>narG</em>), and <em>mtrABC</em> are found to be taxonomically affiliated with <em>Micromonospora</em>. sp, <em>FEN-1250</em>. sp, <em>Nocardioides</em>. sp, etc. Additionally, reverse citric acid cycle (rTCA) serves the main carbon fixation pathway, synthetizing alternative energy for putative V reducers, highlighting a synergistic relationship between autotrophic and heterotrophic processes to support the microbial survival. Our findings comprehensively reveal the driving forces for soil community variation under V stress, suggesting the robust strategies adopted by indigenous microorganisms to alleviate V impact, which can be exploited for bioremediation application.</span></span></p>
Two-dimensional vanadium sulfide flexible graphite/polymer films for near-infrared photoelectrocatalysis and electrochemical energy storage
<p>Raw data of published article "Two-dimensional vanadium sulfide flexible graphite/polymer films for near-infrared photoelectrocatalysis and electrochemical energy storage", DOI: 10.1016/j.cej.2022.135131</p>
DataSET for: Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization
<p>This data set contains the minimal file necessary to reproduce the DFT calculations contained in the publication:<br> Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization.</p> <p>the dataset is available on GitLab: <a href="https://gitlab.com/praguelab/shuo2019_work1">https://gitlab.com/praguelab/shuo2019_work1</a> (Project ID: 13583566) Final Latest tag at moment of submission: <a href="https://gitlab.com/praguelab/shuo2019_work1/-/tags/Accepted_manuscript">https://gitlab.com/praguelab/shuo2019_work1/-/tags/Accepted_manuscript</a></p> <p>The paper has been received for review on 16th October 2019, and accepted for publication 11th November 2019 in Journal of Physical Chemistry Chemical Physics</p> <p>DOI: 10.1039/c9cp05638f</p> <p>Preprint available on arXiv <a href="https://arxiv.org/abs/1910.01509">https://arxiv.org/abs/1910.01509</a></p> <p>The work has been financed by Grantova´ Agentura, Univerzita Karlova (Grantova´ Agentura, Univerzita Karlova), OP VVV ‘‘Excellent Research Teams’’, project CUCAM, and International Mobility of Researchers at Charles University (CZ.02.2.69/0.0/0.0/16_027/0008495)</p>
Raw data for Microwave-assisted Condensation Approach for Vanadium Silicate Microspheres and Their Catalytic Activity in Cyclohexene Epoxidation and Ethyl Lactate Oxidation
<p><strong>Specification of affiliations:</strong></p> <ul> <li>David Skoda - Centre of Polymer Systems</li> <li>Kamila Kuzelova - Centre of Polymer Systems</li> <li>Rajendran Blessy Pricilla - Centre of Polymer Systems</li> <li>Barbora Hanulikova - Centre of Polymer Systems</li> <li>Michal Urbanek - Centre of Polymer Systems</li> <li>Ales Styskalik - Department of Chemistry, Faculty of Science</li> <li>Tomas Pokorny - Department of Chemistry, Faculty of Science</li> <li>Iaroslav Doroshenko - Department of Chemistry, Faculty of Science</li> <li>Lucie Simonikova - Department of Chemistry, Faculty of Science</li> <li>Ivo Kuritka - Centre of Polymer Systems</li> </ul> <p> </p> <p>Raw data for the research paper. Information on the data collection are described in the manuscript.</p>
Unraveling community adaption and survival strategy of soil microbiome under vanadium stress in nationwide mining environments
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Vanadium nitrogenase - anomalous maps for resting and turnover states
<p>The data set contains anomalous difference electron density maps (in CCP4 format) for two published crystal structures of <em>Azotobacter vinelandii</em> vanadium-dependent nitrogenase. These are:</p> <p>1. VFe protein - resting state. <strong>PDB-ID 5N6Y</strong>. Sippel <em>et al. </em>(2017) <em><strong>Nature Chem. Biol.</strong></em> 13, 956-960. DOI: 10.1038/Nchembio.2428</p> <p>2. VFe protein - turnover state. <strong>PDB-ID 6FEA</strong>. Sippel et al. (2018) <em><strong>Science</strong></em> 359, 1484-1489. DOI: 10.1126/science.aar2765</p> <p>For each deposition, the maps provided are calculated with anomalous differences as Fourier coefficients, to 1.9 Å or 2.0 Å resoution, respectively. Depending on energies of data collection, these maps were used to visualize:</p> <p>12398 eV - anomalous contirbution of iron ions</p> <p>7000 eV - anomalous contribution of sulfur atoms (with strong contribution of V)</p> <p>6200 eV - improved signal for S/Fe and S/V, respectively (not shown in publications).</p>
Example NaCl, Vanadium, and background datasets from ISIS SXD
<p>Example datasets of NaCl, Vanadium, and an empty background run generated using <a href="https://www.isis.stfc.ac.uk/Pages/sxd.aspx">SXD at the ISIS Neutron and Muon Source</a>.</p> <p>Each dataset is given in the <a href="https://www.nexusformat.org/TOFRaw.html">TOFRAW format</a> (.nxs), and original ISIS RAW format (.raw) (see <a href="https://www.isis.stfc.ac.uk/Pages/ISIS-Raw-File-Format.aspx">ISIS file formats</a>).</p> <p>Datasets were recorded 12/2020.</p> <p>Files can be read using <a href="http://www.opengenie.org/Main_Page">Open Genie</a> (RAW only), <a href="https://www.mantidproject.org/Main_Page">Mantid</a>, and <a href="https://github.com/dials/isis_utils">DIALS/isis_utils</a>. The main purpose of this dataset is for use in automated testing for <a href="https://github.com/dials/isis_utils">DIALS/isis_utils</a>.</p> <p> </p>
Datasets for "Ultra-narrow inhomogeneous spectral distribution of telecom-wavelength vanadium centres in isotopically-enriched silicon carbide"
<p>Datasets supporting the paper: "Ultra-narrow inhomogeneous spectral distribution of telecom-wavelength vanadium centres in isotopically-enriched silicon carbide" by P. Cilibrizzi et al.</p><p> </p><p>The files are named as date_time_+"PLE_scan_"+frqInitial_polarisation_frqEnd_signal. For example, the file "2022-12-20_17_07_PLE_scan_234420059_MHz_sigma_P_234419877_MHz_X" is taken on teh 20th of December 2022, starting at 17:07pm. The wavelength of the excitation laser is measured by the wavemeter at the beginning of data acquisition to be 234,420,059 MHz. At the end of the map, the laser wavelength is 234,419,877 MHz. The quantity stored in the file is "X", corresponding to the values of the x-axis for the spatial scan.</p><p>Possible quantities are<br>X: values of the x-axis for the spatial scan (in microns)<br>Y: values of the y-axis for the spatial scan (in microns)<br>Z: number of photon counts</p><p> </p>
Dataset for the paper: "Carbon Aerogel Based Thin Electrodes for Zero-Gap all Vanadium Redox Flow Batteries – Quantifying the Factors Leading to Optimum Performance"
<p>The data in this spreadsheet was used to produce the figures in the paper </p> <p>Andres Parra-Puerto, Javier Rubio-Garcia, Matthew Markiewicz, Zhuo Zheng and Anthony Kucernak</p> <p>Carbon Aerogel Based Thin Electrodes for Zero-Gap all Vanadium Redox Flow Batteries – Quantifying the Factors Leading to Optimum Performance </p> <p>DOI: https://doi.org/10.1002/celc.202101617 </p> <p>Please cite the above reference if you wish to use this data </p> <p>DOI of this data file is: 10.5281/zenodo.6261512</p>
Cycle data of different laboratory flow batteries based on AQDS BQDS, MV TEMPOL and vanadium flow battery
<p>Cycle data of different organic and inorganic laboratory scale redox flow batteries with an active area of 40 cm², made during the EU-Project SONAR in the years 2020 - 2023.</p>
Magnesium and Vanadium Levels in Preeclampsia
ClinicalTrials.gov study NCT04387565. IPD Sharing: NO. Countries: 1. Publications: 6.
Vanadium in Late-onset Preeclampsia
ClinicalTrials.gov study NCT04200222. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Dataset "Sedimentary vanadium depletion under sulfidic conditions"
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Data for "Low Temperature Spin Seebeck Effect in Non-Magnetic Vanadium Dioxide"
<p>All data associated with the figures in the publication Renjie Luo, Tanner J. Legvold, Liyang Chen, Henry Navarro, Ali C. Basaran, Deshun Hong, Changjiang Liu, Anand Bhattacharya, Ivan K. Schuller, and Douglas Natelson, "<a href="https://doi.org/10.1103/PhysRevB.110.024415" target="_blank" rel="noopener">Low temperature spin Seebeck effect in non-magnetic vanadium dioxide</a>", Phys. Rev. B <strong>110</strong>, 024415 (2024). </p>
Data from: Colorimetric detection of hydrogen peroxide by dioxido-vanadium(V) complex containing hydrazone ligand: synthesis and crystal structure
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