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614 results for “impedance”
Dataset of "Electronic structure and defect states in bismuth and antimony sulphides identified by energy-resolved electrochemical impedance spectroscopy"
Understanding the nature of the defects in the absorber materials, namely point defects, their formation mechanism and the contribution to the properties is essential for the photovoltaic device performance improvement. They are one the reasons why chalcogenide-based solar cells do not yet meet expected high power conversion efficiencies. Here we identify and present energy distribution of defects in Bi2S3 and Sb2S3, and their (SbxBi(100-x))2S3 alloys (with x = 0, 10, 33, 50, 67, 90, 100 at% Sb content) chalcogenides, being explored for emerging photovoltaic applications as they are earth-abundant and highly absorbing in the visible light range. We show that their density of states (DOS) and related parameters can be obtained experimentally by energy-resolved electrochemical impedance spectroscopy (ER-EIS) in a technically simple and quick way, where ER-EIS data are well correlated with theoretical DFT calculations. ER-EIS reveals that in Bi2S3 there are only shallow defects at CBM. In Sb2S3, ER-EIS reveals also midgap states which can be the cause of low electrical conductivity of Sb2S3. We also explain the discrepancy in the reported values of ionisation potentials and the bandgaps of the Bi- and Sb-chalcogenides. Dominant sulphur vacancy defect was identified in Bi- and Sb-chalcogenides whereas in ternary (SbxBi(100-x))2S3 system, merely 10 at.% of Bi transforms the midgap sulphur defects to shallow ones. This provides novel strategy for healing the midgap defects in Sb2S3, which is crucial for boosting the PV performance and tuning the electrical conductivity in Sb2S3.
Dynamo in weakly collisional non-magnetized plasmas impeded by Landau damping of magnetic fields
<p>This dataset contains a collection of simulation inputs and results used in the paper [I. Pusztai et al (2020) Phys. Rev. Lett., Dynamo in weakly collisional non-magnetized plasmas impeded by Landau damping of magnetic fields, https://arxiv.org/abs/2001.11929]. References to figures below refer to this publication. </p> <p>These simulations are performed using the kinetic-Vlasov solver Gkeyll [version: cd65328c077f+ 2228+ default], for more information on the code visit https://gkyl.readthedocs.io/en/latest/index.html, or consult [J. Juno et al (2018) J. Comp. Phys 353, 110].</p> <p>The input files are found with .lua extension in each simulation directory</p> <p>Content:</p> <p>* Galloway-Proctor-flow_Fig1-kinetic-and-Fig2 <br> Kinetic simulation of the Galloway-Proctor flow, corresponding to the solid lines in Fig. 1 and Fig. 2. </p> <p>* Cnu-and-k-scan_Fig3-and-Fig4a<br> This is a parameter scan in wavelength of the magnetic perturbations [ranging from L0 ("L0") to L0/8 ("L0per8"), with baseline domain size L0] and collision frequencies [ranging from 0.05 ("Cnu005") to 1 ("Cnu1") times the baseline values]. These results are presented in Fig. 3 and Fig. 4a.</p> <p>* Magnetization-scan_Fig4b<br> Scan in magnetization shown in Fig. 4 b. The magnetic field varies between 1 and 100 T ["B1" and "B100", respectively].</p> <p>* Roberts-flow_Fig5 <br> Kinetic simulations of the Roberts flow, shown in Fig. 5. The collision frequency is scaled to 0.3 the physical value (dashed lines, "Roberts_Cnu03_Fig5"), and zero (solid lines, "Roberts_Cnu00_Fig5"). </p> <p>* Pencil_Run_12x12x12.tar.gz<br> Input files for PENCIL CODE simulations.</p>
Physics-based parametrization of the surface impedance for radio frequency sheaths
<p>The accompanying files contain digital data for the figures in the article "Physics-based parametrization of the surface impedance for radio frequency sheaths" by J.R. Myra, Physics of Plasmas 24, 072507 (2017).</p> <p>Filenames correspond to the figures or parts thereof. All data is given as ascii text in csv format. The files may be open and plotted by common spreadsheet programs and may be easily read by procedural programs. The first row gives the column headers. These correspond to the labels on the x and y axes of the figures (as represented by ascii text). Most headers are self-explanatory. Exceptional cases are noted below.</p> <p>Fig. 2<br> w = frequency omega<br> yir20 = real part of ion impedance Re[yi] for Vrf = 20<br> yii20 = imaginary part of ion impedance Im[yi] for Vrf = 20<br> yir10 = real part of ion impedance Re[yi] for Vrf = 10<br> yii10 = imaginary part of ion impedance Im[yi] for Vrf = 10<br> yir5 = real part of ion impedance Re[yi] for Vrf = 5<br> yii5 = imaginary part of ion impedance Im[yi] for Vrf = 5<br> yir0 = real part of ion impedance Re[yi] for Vrf = 0<br> yii0 = imaginary part of ion impedance Im[yi] for Vrf = 0</p> <p>The diagonal blue lines in the published figures for Figs. 3 - 8 indicate the line y = x and are not explicilty tabulated here.</p> <p>Abstract:</p> <p>The properties of sheaths near conducting surfaces are studied for the case where both magnetized plasma and intense radio frequency (rf) waves coexist. The work is motivated primarily by the need to understand, predict and control ion cyclotron range of frequency (ICRF) interactions with tokamak scrape-off layer plasmas, and is expected to be useful in modeling rf sheath interactions in global ICRF codes. Employing a previously developed model for oblique angle magnetized rf sheaths [J. R. Myra and D. A. D’Ippolito, Phys. Plasmas 22, 062507 (2015)], an investigation of the four-dimensional parameter space governing these sheath is carried out. By combining numerical and analytical results, a parametrization of the surface impedance and voltage rectification for rf sheaths in the entire four-dimensional space is obtained.</p>
Impedance Reconstruction of Non-transmural Cardiac Fibrosis
<div>In this dataset we can find geometrical setups that served as an input to carry simulations with openCARP and EIDORS. The setup consists of a Lasso with point electrodes placed on patch of tissue and embedded in a box of blood. The tissue simulates a myocardium that can be either fully healthy, fully scarred, or healthy with a 8-mm width line of scar tissue.</div> <div>In addition, the voltage and local impedance maps obtained as results are included.</div> <div>Two kinds of simulations were performed: reconstruction the forward injection of a 5µA current at 14.6kHz with EIDORS, and the electrical wave propagation with openCARP.</div> <div>For the impedance reconstruction, a four electrode circuit was always used, meaning that two electrodes were part of the injecting pattern and a potential difference was measured between another two. The stimulating pair were sequentially changed among all pairs of neighbouring electrodes, whereas the rest of them contributed to the measurement.</div> <div>The voltage maps were computed taking the recovered EGMs from the electrode positions.</div> <div> </div> <h2>Data structure</h2> <div> <ul> <li>inputGeometries: 24 vtk files representing the input setup for simulations. The file names are of the form imageXX_append_cleanToGrid_LOCATION, where XX is a number among 06, 11, 52, and 55, and LOCATION refers to the position in z-axis (transmural, endo-, midmyo-, epicardio).</li> </ul> </div> <div> <ul> <li>results: <ul> <li>BidomainSimulations: the extracellular potentials of each electrical propagation simulation using the Courtemanche model are saved in each of the 16 folders. All the corresponding outputs from a pseudobidomain openCARP simulation are located in each folder. <ul> <li>2023-04-16_image06_endo_00</li> <li>2023-04-16_image06_epi_00</li> <li>2023-04-16_image06_mid_00</li> <li>2023-04-16_image06_transmural_00</li> <li>2023-04-16_image11_endo_00</li> <li>2023-04-16_image11_epi_00</li> <li>2023-04-16_image11_mid_00</li> <li>2023-04-16_image11_transmural_00</li> <li>2023-04-16_image52_endo_00</li> <li>2023-04-16_image52_epi_00</li> <li>2023-04-16_image52_mid_00</li> <li>2023-04-16_image52_transmural_00</li> <li>2023-04-16_image55_endo_00</li> <li>2023-04-16_image55_epi_00</li> <li>2023-04-16_image55_mid_00</li> <li>2023-04-16_image55_transmural_00</li> </ul> </li> <li>ImpedanceSimulations: mat and vtk files corresponding to either local electrical impedance reconstruction simulation. The file names are of the form imageXX_append_cleanToGrid_LOCATION, where XX is a number among 06, 11, 52, and 55, and LOCATION refers to the position in z-axis (transmural, endo-, midmyo-, epicardio). </li> </ul> </li> </ul> </div>
Simulated Local Electrical Impedance in Atrial Tissue With Varying Contact Force
<p>In this dataset we can find geometrical setups that served as an input to carry forward electrical impedance simulations with EIDORS. <br>A 3D geometrical models of one ablation catheters combining measurements of local impedance (LI) and contact force (CF) commercially available is included. The objective of these in silico experiments laid on understanding how CF and tissue deformation affect LI measurements.<br>To achieve it, using the catheter against the tissue, several grams of force are applying.<br>The dataset consists of the original geometrical models before deformation and a couple of examples of the deformed one.</p> <h2>Data structure</h2> <ul> <li>geos: original geometries of the catheter and the tissue in stl <ul> <li>catheter.stl</li> <li>tissue.stl</li> </ul> </li> <li>geos_deformed: deformed geometries at 5 and 10 grams, respectively. Includes the catheter, the mesh, and the tissue <ul> <li>5 g <ul> <li>catheter.stl</li> <li>tissue_5g.stl</li> <li>mesh_5g.stl</li> </ul> </li> <li>10 g <ul> <li>catheter.stl</li> <li>tissue_10g.stl</li> <li>mesh_10g.stl</li> </ul> </li> </ul> </li> </ul>
In Silico Local Electrical Impedance Measurements in the Atria
<div>This document describes a dataset provided in the context of the manuscript “In Silico Study of Local Electrical Impedance Measurements in the Atria - Towards Understanding and Quantifying Dependencies in Human” [1].</div> <div> </div> <div>Authors: Unger LA, Anton CM, Stritt M, Wakili R, Haas A, Kircher M, Dössel O, Luik A</div> <div> </div> <div>The dataset contains in silico simulation setups and results from forward electrical impedance simulations with EIDORS. Geometrical models include the commercially available ablation catheters IntellaNav MiFi and IntellaNav StPt catheter measuring local impedance (LI). </div> <div>Catheter geometries were embedded in different surrounding conditions of clinical importance. Catheter tissue interaction with and without scar, the insertion of the catheter into a pulmonary vein (PV), the withdrawal into a transeptal sheath, and catheter irrigation were modeled to quantify the respective effect on LI measurements. In vitro and clinical data used for validation purposes are included in the dataset as well.</div> <div> </div> <div>Abbreviations: </div> <div>LI: local impedance, all numbers are given in Ohms</div> <div>MiFi: IntellaNav MiFi catheter</div> <div>PV: pulmonary vein</div> <div>StPt: IntellaNav StPt catheter</div> <div> </div> <div> </div> <div>Simulation results, in vitro measurements and clinically measured traces are provided in the following MATLAB files in the subdirectory „results_LI“:</div> <div> </div> <div>• impConductivities.mat</div> <div>In vitro measurements and simulation results for MiFi and StPt in NaCl solutions of different concentrations as described in section III A of the related publication [1]. The struct "impedance" includes the following fields:</div> <div>⁃ conc: concentration of NaCl solutions from in vitro measurements in weight percentages</div> <div>⁃ cond: conductivities of the NaCl solutions from in vitro measurements in S/m</div> <div>⁃ temp: interpolated temperature curves from in vitro measurements in °C</div> <div>⁃ condSim: different conductivities of the NaCl solutions from in silicon experiments in S/m</div> <div>⁃ LI_MiFi_iV: 41x9 matrix with interpolated in vitro LI measurements with the MiFi catheter in 9 different NaCl solutions and at 41 interpolated temperature values</div> <div>⁃ LI_StPt_iV: 41x9 matrix with interpolated in vitro LI measurements with the StPt catheter in 9 different NaCl solutions and at 41 interpolated temperatures values</div> <div>⁃ LI_MiFi_iV_RT: LI values for different NaCl solutions at room temperature interpolated from in vitro MiFi measurements</div> <div>⁃ LI_MiFi_iV_BT: LI values for different NaCl solutions at body temperature interpolated from in vitro MiFi measurements</div> <div>⁃ LI_StPt_iV_RT: LI values for different NaCl solutions at room temperature interpolated from in vitro StPt measurements</div> <div>⁃ LI_StPt_iV_BT: LI values for different NaCl solutions at body temperature interpolated from in vitro StPt measurements</div> <div>⁃ LI_MiFi_sim: LI extracted from simulations with the MiFi catheter for different NaCl solutions</div> <div>⁃ LI_StPt_sim: LI extracted from simulations with the StPt catheter for different NaCl solutions</div> <div> </div> <div>• impSheath.mat</div> <div>Simulation results and clinical measurements of LI with MiFi and StPt for different overlaps with a transeptal sheath as described in section III B of the related publication [1]. The struct „impSheath“ contains the following fields:</div> <div>⁃ distance: vertical distance between catheter tip and distal edge of the sheath in mm. Negative distances describe an insertion of the catheter into the sheath</div> <div>⁃ LI_MiFi_sim: LI extracted from simulations with the MiFi catheter for different vertical distances between catheter tip and distal edge of the sheath corresponding to the field distance</div> <div>⁃ LI_StPt_sim: LI extracted from simulations with the StPt catheter for different vertical distances between catheter tip and distal edge of the sheath corresponding to the field distance</div> <div>⁃ LI_MiFi_cd: 281x2 matrix containing clinical LI measurements with the MiFi catheter in the second column and corresponding time steps in the first column</div> <div>⁃ LI_StPt_cd: 301x2 matrix containing clinical LI measurements with the StPt catheter in the second column and corresponding time steps in the first column</div> <div> </div> <div>• impTissue.mat</div> <div>Simulation results for MiFi and StPt with variable distance and angle between catheter and tissue as described in section III C of the related publication [1]. The struct „impTissue“ contains the following fields:</div> <div>⁃ distance: 25 different distances between catheter tip and endocardial surface in mm</div> <div>⁃ distanceSel: 5 selected distances between catheter tip and endocardial surface in mm</div> <div>⁃ angle: 13 different angles between catheter and endocardial tissue surface in degrees</div> <div>⁃ LI_MiFi_d_alpha: 5x13 matrix with simulated LI values for the MiFi catheter at 5 selected distances (distanceSel) and 13 angles between catheter and tissue.</div> <div>⁃ LI_MiFi_d_90: 25 simulated LI values for the MiFi catheter for different distances between catheter tip and endocardial surface corresponding to the field “distance” for orthogonal catheter placement</div> <div>⁃ LI_StPt_d_alpha: 5x13 matrix with simulated LI values for the StPt catheter at 5 selected distances (distanceSel) and 13 angles between catheter and tissue.</div> <div>⁃ LI_StPt_d_90: 25 simulated LI values for the StPt catheter different distances between catheter tip and endocardial surface corresponding to the field “distance” for orthogonal catheter placement</div> <div> </div> <div>• impTissueScar.mat</div> <div>Simulation results for MiFi and StPt interacting with tissue in the presence of scar as described in section III C of the related publication [1]. The struct „impTissueScar“ contains the following fields:</div> <div>⁃ distance: vertical distance between catheter tip and endocardial surface for all simulation setups in mm</div> <div>⁃ centerX: horizontal distance between the catheter tip and the center of the line of scar for all simulation setups in mm</div> <div>⁃ LI_MiFi3mm: simulated LI for the MiFi catheter for all combinations of horizontal and vertical distances with a central line of scar of 3mm width</div> <div>⁃ LI_StPt3mm: simulated LI for the StPt catheter for all combinations of horizontal and vertical distances with a central line of scar of 3mm width</div> <div>⁃ LI_MiFi6mm: simulated LI for the MiFi catheter for all combinations of horizontal and vertical distances with a central line of scar of 6mm width</div> <div>⁃ LI_StPt6mm: simulated LI for the StPt catheter for all combinations of horizontal and vertical distances with a central line of scar of 6mm width</div> <div> </div> <div>• impPV.mat</div> <div>Simulation results for MiFi and StPt insertion into a pulmonary vein (PV) as described in section III D of the related publication [1]. The struct „impPV“ includes the following fields:</div> <div>⁃ distance: vertical distance between catheter tip and tissue surface in mm. Negative distances describe an insertion of the catheter into the vein.</div> <div>⁃ radius: inner radius of the PV in mm</div> <div>⁃ thickness: thickness of the PV tissue in mm</div> <div>⁃ LI_MiFi_d_r_th: 31x4x4 matrix containing the LI simulation results for the MiFi catheter for all combinations of 31 distances, 4 radii, and 4 thicknesses.</div> <div>⁃ LI_StPt_d_r_th: 31x4x4 matrix containing the LI simulation results for the StPt catheter for all combinations of 31 distances, 4 radii, and 4 thicknesses.</div> <div> </div> <div>• impFlush.mat</div> <div>Simulation results for MiFi and StPt flush with NaCl at different flow rates as described in section III E of the related publication [1]. The struct „impFlush“ includes the following fields:</div> <div>⁃ radius: radius of the NaCl spheres at the irrigation holes in mm</div> <div>⁃ LI_MiFi_NaCl: LI extracted from simulations with MiFi catheter for NaCl irrigation spheres of different sizes corresponding to the respective radius</div> <div>⁃ LI_StPt_NaCl: LI extracted from simulations with StPt catheter for NaCl irrigation spheres of different sizes corresponding to the respective radius</div> <div> </div> <div>Additionally, exemplary geometrical setups and results are provided as VTK files in the subdirectory „selectedGeometriesAndSimResults“:</div> <div> </div> <div>Each VTK file contains the following data fields:</div> <div>⁃ Ids (point data): integer specifying the Id of the respective vertex</div> <div>⁃ Voltage (point data): electric potential of the respective vertex with respect to a reference potential in mV</div> <div>⁃ Conductivity (cell data): conductivity of the material of the respective cell in S/mm</div> <div>⁃ Current (cell data): current density of the respective cell in nA/mm^2</div> <div>⁃ Ids (cell data): integer specifying the Id of the respective cell</div> <div>⁃ Material (cell data): integer specifying the material of the respective cell (for MiFi setups: 1: distal ring electrode, 2: middle ring electrode, 3: proximal ring electrode, 4: tip electrode, 5: outer insulator, 6: inner insulator, 7: mini electrode 1, 8: insulator mini electrode 1, 9: mini electrode 2, 10: insulator mini electrode 2, 11: mini electrode 3, 12: insulator mini electrode 3, 13: tissue, 14: blood, 15: sheath, 16:NaCl, 17: scar tissue; for StPt setups: 1: distal ring electrode, 2: middle ring electrode, 3: proximal ring electrode, 4: tip electrode, 5: outer insulator, 6: inner insulator, 7: tissue, 8: blood, 9: NaCl, 10: scar tissue)</div> <div> </div> <div>• mifi.vtk: MiFi catheter in blood </div> <div>• stpt.vtk: StPt catheter in blood</div> <div>• mifiTissue_dist000_angle0000.vtk: MiFi catheter positioned in 0mm distance to the endocardial tissue at an angle of 0°</div> <div>• mifiTissue_dist000_angle0450.vtk: MiFi catheter positioned in 0mm distance to the endocardial tissue at an angle of 45°</div> <div>• mifiTissue_dist000_angle0900.vtk: MiFi catheter positioned in 0mm distance to the endocardial tissue at an angle of 90°</div> <div>• mifiTissue_dist000_angle1350.vtk: MiFi catheter positioned in 0mm distance to the endocardial tissue at an angle of 135°</div> <div>• mifiTissue_dist000_angle1800.vtk: MiFi catheter positioned in 0mm distance to the endocardial tissue at an angle of 180°</div> <div>• mifiTissueScar_dist0000_angle0900_centerX0000_line3mm.vtk: MiFi catheter positioned centrally and orthogonally at a line of scar tissue of 3mm width</div> <div>• mifiTissueScar_dist0000_angle0900_centerX0000_line6mm.vtk: MiFi catheter positioned centrally and orthogonally at a line of scar tissue of 6mm width</div> <div>• mifi_PV_d0060_r030_th20.vtk: MiFi catheter 6mm above the endocardial surface with a PV of 3 mm radius and 2mm PV tissue thickness</div> <div>• mifi_PV_d-070_r030_th20.vtk: MiFi catheter inserted into a PV of 3 mm radius and 2mm PV tissue thickness; insertion depth = 7mm</div> <div>• mifi_flush_050-0.50.vtk: MiFi catheter within blood with NaCl spheres of 0.5mm radius at irrigation holes</div> <div>• mifi_sheath_0100.vtk: MiFi catheter within transeptal sheath extracted by 10mm</div> <div> </div> <div>[1] Unger LA, Anton CM, Stritt M, Wakili R, Haas A, Kircher M, Dossel O, Luik A. In Silico Study of Local Electrical Impedance Measurements in the Atria - Towards Understanding and Quantifying Dependencies in Human. IEEE Trans Biomed Eng. 2023 Feb;70(2):533-543. doi: 10.1109/TBME.2022.3196545. Epub 2023 Jan 19. PMID: 35925848.</div> <p> </p>
Data related to the article "Impedance of nanocapacitors from molecular simulations to understand the dynamics of confined electrolytes"
<p>Contains input files and data used to generate the figures of the article:</p> <p>Impedance of nanocapacitors from molecular simulations to understand the dynamics of confined electrolytes<br>(Giovanni Pireddu, Connie J. Fairchild, Samuel P. Niblett, Stephen J. Cox and Benjamin Rotenberg)</p> <p>ChemRxiv: https://doi.org/10.26434/chemrxiv-2023-2ccrw</p> <p>Published version: to be inserted upon publication</p> <p>The folder EXAMPLE_INPUT_FILES contains typical [MetalWalls](https://doi.org/10.21105/joss.02373) ([repository](https://gitlab.com/ampere2/metalwalls)) and [LAMMPS]([repository](https://github.com/lammps/lammps)) input files used to perform the molecular simulations.</p> <p>The folder DATA_FIGURES contains the processed data used to plot all the figures of the paper (see below).</p> <p><br>Notes: <br>1) In the file names, the notation 'M01', 'M05', 'M10' and 'M15' refers to the salt concentration in each system (0.1, 0.5, 1.0 and 1.5, respectively). 'W' refers to pure water (0 M) systems.<br>2) In the file names, the notation 'd1', 'd2', 'd3', 'd4', refers to different interelectrode distances (d1= 2.56 nm; d2= 5.07 nm; d3= 9.80 nm; d4= 19.84 nm) <br>3) The files containing the polarization cross-correlation are marked with 'AxB' indicating the cross-correlation between the contributions A and B. Specifically A and B can be: <br> - T = total<br> - I = ion<br> - W = water</p> <p><br>Figure 1:<br>- Panel B<br> - 'Fig1_CapConcentration': Differential capacitance scaled by electrode area as a function of NaCl concentration<br>- Panel C<br> - 'Fig1_QACF_*': Electrode charge autocorrelation function<br>- Panel D<br> - 'Fig1_Norm_QACF_*': Normalized electrode charge autocorrelation function<br> - 'Fig1_NormChar_*': Normalized non-equilibrium charge response</p> <p>Figure 2:<br>- Panel A: <br> - 'Fig2_ReZ_*': Real part of impedance<br>- Panel B:<br> - 'Fig2_nImZ_*': Negative imaginary part of impedance<br>- Panel C:<br> - 'Fig2_ReZint_*': Real part of interfacial impedance<br> - 'Fig2_Resistivities.dat': Resistivity as a function of NaCl concentration (bulk, confined, Nernst-Einstein)<br>- Panel D:<br> - 'Fig2_nImZint_*': Negative imaginary part of interfacial impedance<br> - 'Fig2_ECM*': Capacitor contributions to the imaginary part of interfacial impedance (finite concentrations)<br> - 'Fig2_ECW1.dat': Capacitor contributions to the imaginary part of interfacial impedance (pure water). Full cell capacitance taken into account<br> - 'Fig2_ECW2.dat': Capacitor contributions to the imaginary part of interfacial impedance (pure water). Interfacial capacitance taken into account </p> <p>Figure 3:<br>- Panel A:<br> - 'Fig3_ReCond_Peyman_M10.dat': Real part of conductivity (data from: A Peyman, C Gabriel, E Grant, Complex permittivity of sodium chloride solutions at microwave frequencies. Bioelectromagnetics 28, 264–274 (2007))<br> - 'Fig3_ReCond_Querry_M10.dat': Real part of conductivity (data from: MR Querry, RC Waring, WE Holland, GM Hale, W Nijm, Optical Constants in the Infrared for Aqueous Solutions of NaClt. J. Opt. Soc. Am. 62 (1972)) <br> - 'Fig3_ReCond_Vinh_M10.dat': Real part of conductivity (data from: NQ Vinh, et al., High-precision gigahertz-to-terahertz spectroscopy of aqueous salt solutions as a probe of the femtosecond-to-picosecond dynamics of liquid water. The J.<br>Chem. Phys. 142, 164502 (2015).)<br> - 'Fig3_ReCond_M10.dat': Real part of conductivity from MD simulations<br>- Panel B:<br> - 'Fig3_ReCond_M*/W.dat': Real part of conductivity from MD simulations<br> - 'Fig3_ReCond_Peyman_M*': Real part of conductivity (data from: A Peyman, C Gabriel, E Grant, Complex permittivity of sodium chloride solutions at microwave frequencies. Bioelectromagnetics 28, 264–274 (2007))<br>- Panel C:<br> - 'Fig3_Cond0.dat': Static conductivity as a function of concentration (MD data)<br> - 'Fig3_Cond0_Buchner.dat': Static conductivity as a function of concentration (data from: R Buchner, GT Hefter, PM May, Dielectric relaxation of aqueous nacl solutions. The J. Phys. Chem. A 103, 1–9 (1999))<br> - 'Fig3_Cond0_Peyman.dat': Static conductivity as a function of concentration (data from: A Peyman, C Gabriel, E Grant, Complex permittivity of sodium chloride solutions at microwave frequencies. Bioelectromagnetics 28, 264–274 (2007))</p> <p>Figure 4:<br>- Panel A: <br> - 'Fig4_ReZ_d*': Real part of impedance (MD simulations)<br> - 'Fig4_ReZEC_d*': Real part of impedance (equivalent circuit model)<br>- Panel B:<br> - 'Fig4_nImZ_d*': Negative imaginary part of impedance (MD simulations)<br> - 'Fig4_nImZEC_d*': Negative imaginary part of impedance (equivalent circuit model)</p> <p>Figure 5:<br>- 'Fig5_TauQ.dat': timescales from the total charge autocorrelation functions<br>- 'Fig5_iontot.dat': timescales from the TxI autocorrelation function<br>- 'Fig5_RC.dat': timescales from the RC estimates<br>- 'Fig5_RbulkC.dat': timescales from the RbulkC estimates<br>- 'Fig5_Taudiff.dat': timescales from the difference between electrolyte and pure water QACFs<br>- 'Fig5_taud.dat': tau_d analytical timescales<br>- 'Fig5_tauDebye.dat': tau_Debye analytical timescales<br>- 'Fig5_taumix.dat': tau_mix analytical timescales</p> <p>Figure 6:<br>- Panel A:<br> - 'Fig6_Static_*: Static correlation between polarization contributions as a function of salt concentration<br>- Panel B:<br> - 'Fig6_Dynamic_EQ_*_M01' Dynamical correlations between polarization contributions (equilibrium MD results)<br> - 'Fig6_Dynamic_NEQ_*_M01' Dynamical correlations between polarization contributions (non-equilibrium MD results)<br>- Panel C:<br> - 'Fig6_Dynamic_EQ_*_M10' Dynamical correlations between polarization contributions (equilibrium MD results)<br> - 'Fig6_Dynamic_NEQ_*_M10' Dynamical correlations between polarization contributions (non-equilibrium MD results)</p> <p> </p> <p> </p>
Comprehensive Impedance Spectroscopy Analysis on the Electrocatalytic Reduction of 5-Hydroxymethylfurfural
<p># Dataset of "Comprehensive Impedance Spectroscopy Analysis on the Electrocatalytic Reduction of 5-Hydroxymethylfurfural"</p> <p>---</p> <p>## GENERAL INFORMATION<br>----------------------</p> <p>1. Dataset title: "Comprehensive Impedance Spectroscopy Analysis on the Electrocatalytic Reduction of 5-Hydroxymethylfurfural"</p> <p>2. Authorship: <br> Name: Jose Solera-Rojas <br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0003-3513-7069</p> <p> Name: David Carvajal<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0002-8450-2563</p> <p> Name: Antonio Guerrero<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0001-8602-1248</p> <p> Name: Carmen Mejuto<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> ORCID: 0000-0002-4432-5697</p> <p> Name: Elena Más-Marzá<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> Email: <emas@fca.uji.es> <br> ORCID: 0000-0002-2308-0635</p> <p> Name: Francisco Fabregat-Santiago<br> Institution: Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain<br> Email: <fabresan@uji.es> <br> ORCID: 0000-0002-7503-1245</p> <p>## FILE DESCRIPTION<br>--------------<br>### Figure 2<br>- Fig2b.txt : Cyclic voltammetry (CV) for the reduction of HMF, BHMF, 5-MF and MFA. A 20 mM of each organic molecule in a solution of 0.5 M NaH2PO4 (pH = 4.1) was used.<br>- Fig2c.txt : Conversion of HMF and yields of BHMF, MFA, DMF and 5-MF. <br>- Fig2d.txt : Faradaic Efficiency (FE) for the electroreduction of 20 mM HMF at pH = 4.1.</p> <p>### Figure 3<br>- Fig3a.txt : Uncorrected J-V curve taken at the end of IS measurements without and with all the organic molecules in this study<br>- Fig3b.txt : Corrected J-V curve taken at the end of IS measurements without and with all the organic molecules in this study<br>- Fig3c.txt : Faradaic Efficiencies for Glycerol oxidation electrolysis at 5 mA cm^-2.<br>- Fig3d.txt : Nyquist plots in the absence and presence of each organic molecule at -0.65 V vs. RHE.</p> <p>### Figure 4<br>- Fig4a.txt : Results obtained from fitting the IS data Cdl<br>- Fig4b.txt : Results obtained from fitting the IS data Rct<br>- Fig4c.txt : Results obtained from fitting the IS data Css<br>- Fig4d.txt : Results obtained from fitting the IS data Rss<br>- Fig4e.txt : Results obtained from fitting the IS data L<br>- Fig4f.txt : Results obtained from fitting the IS data tau</p> <p><br>### Figure S3<br>- FigS3a.txt : Cyclic voltammetry of 5-MF at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.<br>- FigS3a.txt : Cyclic voltammetry of HMF at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.<br>- FigS3a.txt : Cyclic voltammetry of BHMF at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.<br>- FigS3a.txt : Cyclic voltammetry of MFA at different concentrations (20, 40 and 80 mM) in a solution of 0.5 M NaH2PO4 (pH = 4.1) at a 5 mV/s scan rate.</p> <p>### Figure S4<br>- FigS4a.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.<br>- FigS4b.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.<br>- FigS4c.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.<br>- FigS4d.txt : HPLC chromatograms for HMF, BHMF, 5-MF, MFA and DMF from commercially available products at (a) 294 nm, (b) 285 nm and (c)-(d) 222 nm. The solution from DMF was prepared in cyclohexane and diluted in CH3CN.</p> <p>### Figure S5<br>- FigS5a.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5b.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5c.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5d.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).<br>- FigS5e.txt : Calibration curves for (a) HMF (285 nm), (b) BHMF (222 nm), (c) MFA (222 nm), (d) 5-MF (294 nm) and (e) DMF (222 nm).</p> <p>### Figure S6<br>- FigS6.txt : HPLC chromatogram for the chronoamperometry experiment at -0.55 V vs. RHE and 294 nm for the detection of 5-MF.</p> <p>### Figure S8<br>- FigS8.txt : HPLC chromatogram from the top organic phase from an experiment of 20 mM 5-MF at -0.65 V vs. RHE with a charge limit of 38.6 C. DMF shows a retention time of 21.57 min, while the signal at 12.80 min corresponds to 5-MF partially solubilize in the cyclohexane layer</p> <p>### Figure S9<br>- FigS9.txt : HPLC chromatogram at 222 nm from a chronocoulometric reaction of 20 mM HMF at -0.85 V vs. RHE </p> <p>### Figure S10<br>- FigS10.txt : Stability test of 20 mM standard solution of HMF, BHMF, MFA and 5-MF in a 0.5 M NaH2PO4 (pH = 4) solution for 12 h, quantified by HPLC</p> <p>### Figure S12<br>- FigS10a.txt : Bode plots of impedance spectra in Figure 3c for w/o organic molecule<br>- FigS10b.txt : Bode plots of impedance spectra in Figure 3c for 5-MF<br>- FigS10c.txt : Bode plots of impedance spectra in Figure 3c for HMF<br>- FigS10d.txt : Bode plots of impedance spectra in Figure 3c for BHMF<br>- FigS10e.txt : Bode plots of impedance spectra in Figure 3c for MFA</p> <p>### Figure S13<br>- FigS13.txt : Impedance spectra for HMF change with voltage and so it does the equivalent circuit used to fit the experimental data.</p> <p>### Figure S14<br>- FigS14a,b,c,d.txt : Chronoamperometries of Cu electrodes with the different electrolytes. Peaks observed in the transition between potentials (blue arrows) are associated to the charging of a large capacitor, in our case the surface state capacitor. In the case of MFA this peak is may not be clearly observed as the Css attains large values at voltages in which high current is crossing the electrochemical cell.</p> <p> </p>
Impedance-based forecasting of battery performance amid uneven usage
<p>Dataset of 88 commercial lithium-ion coin cells cycled under multistage constant current charging/discharging, with currents randomly changed between cycles to emulate realistic use patterns.</p> <p>raw-data.zip contains the following data:</p> <p>Variable Discharge: We subject 24 Powerstream LiR2032 coin cells (of nominal capacity 1C = 35mAh) to a sequence of randomly selected charge and discharge currents at room temperature for 110-120 full charge/discharge cycles. Each cycle consists of acquisition of the galvanostatic EIS spectrum, followed by a charging and discharging stage. We collect impedance measurements at 57 frequencies uniformly distributed in the log domain in the range 0.02Hz-20kHz. Charging consists of a two stage Constant Current (CC) protocol; currents are randomly selected in the ranges 70mA-140mA (2C-4C) and 35mA-105mA (1C-3C) in stages 1 and 2 respectively. If the safety threshold voltage of 4.3V is reached before the time limit then charging is stopped. During discharging, a single constant discharge current, randomly selected in the range 35mA-140mA (1C-4C), is applied, until the voltage drops to 3.0V.</p> <p>Fixed Discharge: We subject an additional 16 Powerstream LiR2032 coin cells (of nominal capacity 1C = 35mAh) to the same cycling conditions as above, except now fixing the discharge current for all cells and cycles at 52.5mA (1.5C) instead of randomly changing the discharge current at each cycle.</p> <p>chemistry2-25C.zip contains the following data:</p> <p>Variable Discharge @ 25C: We subject 32 RS-Pro LiR2032 coin cells (of nominal capacity 1C = 40mAh) to a sequence of randomly selected charge and discharge currents at room temperature for 110-120 full charge/discharge cycles. Each cycle consists of acquisition of the galvanostatic EIS spectrum, followed by a charging and discharging stage. We collect impedance measurements at 57 frequencies uniformly distributed in the log domain in the range 0.02Hz-20kHz. Charging consists of a two stage Constant Current (CC) protocol; currents are randomly selected in the ranges 70mA-140mA (2C-4C) and 35mA-105mA (1C-3C) in stages 1 and 2 respectively. The distributions of currents are varied across different cell batches. If the safety threshold voltage of 4.3V is reached before the time limit then charging is stopped. During discharging, a single constant discharge current, randomly selected in the range 35mA-140mA (1C-4C), is applied, until the voltage drops to 3.0V.</p> <p>Variable Discharge @ 35C: We repeat the experiment conducted above for 16 additional RSPro cells, except that now we cycle the cells at 35C instead of 25C.</p>
Accuracy and Reliability of Noninvasive Stroke Volume Monitoring via ECG-Gated 3D Electrical Impedance Tomography in Healthy Volunteers
<p>3D EIT dataset of ten healthy human volunteers, as described in the corresponding <a href="http://dx.doi.org/10.1371/journal.pone.0191870">journal publication at PLOS ONE</a> or the first author's <a href="http://dx.doi.org/10.5075/epfl-thesis-8343">PhD thesis at EPFL</a>. Please also read the attached ReadMe file.</p> <p>When using this data please cite the corresponding journal publication:</p> <blockquote> <p>Accuracy and Reliability of Noninvasive Stroke Volume Monitoring via ECG-Gated 3D Electrical Impedance Tomography in Healthy Volunteers, PLOS ONE, 2018, <a href="http://dx.doi.org/10.1371/journal.pone.0191870">https://dx.doi.org/10.1371/journal.pone.0191870</a></p> </blockquote>
Data related to the article "Frequency-dependent impedance of nanocapacitors from electrode charge fluctuations as a probe of electrolyte dynamics"
<p>Contains input files and data used to generate the figures of the article:</p> <p>Frequency-dependent impedance of nanocapacitors from electrode charge fluctuations as a probe of electrolyte dynamics<br> (Giovanni Pireddu and Benjamin Rotenberg)</p> <p>arXiv: https://arxiv.org/abs/2206.13322</p> <p>The folder EXAMPLE_INPUT_FILES contains typical <a href="https://doi.org/10.21105/joss.02373">MetalWalls</a> (<a href="https://gitlab.com/ampere2/metalwalls">repository</a>) input files used to perform the simulations.</p> <p>The folder DATA_FIGURES contains the processed data used to plot all the figures of the paper (see below).<br> </p> <p>The 'd*' labels are used in the directory or file names to refer to the following interelectrode distances considered:<br> - 'd1' corresponds to 2.51 nm;<br> - 'd2' corresponds to 4.94 nm;<br> - 'd3' corresponds to 9.76 nm;<br> - 'd4' corresponds to 19.42 nm;</p> <p><br> Figure 1:<br> - 'Fig1_Continuum.dat': <br> - Capacitance calculated considering a continuum approximation<br> - 'Fig1_DDS.dat':<br> - Capacitance calculated considering the DDS model (three capacitors in series)<br> - 'Fig1_MD.dat':<br> - Capacitance calculated from MD simulations. Includes the capacitance of the empty capacitor.</p> <p>Figure 2:<br> Panel A<br> - 'Fig2_QACFd*.dat':<br> - Time autocorrelation function of the electrode charge fluctuations<br> Panel B<br> - 'Fig2_Qrampd*.dat':<br> - Charge profile upon a step in voltage (0 to 1 V)<br> - 'Fig2_Vramp.dat':<br> - Voltage ramp related to the charging profiles<br> Panel C<br> - 'Fig2_QACFNormd*.dat':<br> - Normalized charge autocorrelation function<br> -'Fig2_QrampNormd*.dat'<br> - Normalized charge profile</p> <p>Figure 3:<br> - 'Fig3_MDd*.dat':<br> - Real and imaginary parts of impedance as estimated from MD simulations<br> - 'Fig3_ECd*.dat'<br> - Real and imaginary parts of impedance as calculated from the equivalent circuit models</p> <p>Figure 4:<br> - 'Fig4_MDd*.dat':<br> - Magnitude of admittance as estimated from MD simulations<br> - 'Fig4_Debyed*.dat':<br> - Magnitude of admittance as calculated from the Debye relaxation model<br> Inset<br> - 'Fig4_MDTau.dat':<br> - Relaxation time estimated from MD simulations<br> - 'Fig4_TauFit.dat':<br> - Fit of the relaxation time</p>
Data and results for manuscript "Multi-frequency electrical impedance tomography as a non-invasive tool to characterize and monitor crop root systems "
<p>Root systems are essential in nutrient uptake and translocation, but are difficult to characterize non-invasively with existing methods. We propose electrical impedance tomography (EIT) as a new tool for the imaging and monitoring of crop root systems. In a laboratory experiment we demonstrate the capability of the method to capture physiological responses of root systems with high spatial and temporal resolution. We conclude that EIT is a promising functional imaging technique for crop roots.</p> <p>This package contains measured raw EIT data, electrical imaging results, spectral results from the Debye decomposition, and the Python scripts used to generate the plots in the manuscript.</p>
FOAM 02: Impedance tube measurements of two porous materials with diameter variation
<p>This dataset provides the data for Reference:</p> <p>[1] Alfonso Caiazzo, Florian Kraxberger, Christian Adams, Andreas Wurzinger, Jan Boysen, Giuseppe Petrone, Stefan Schoder, Sergio De Rosa, Manfred Kaltenbacher, and Christian Adams: FOAM 02: A dataset of impedance tube measurements with different materials and diameter variations. Acta Acustica 9 (50), 2025. <a href="https://doi.org/10.1051/aacus/2025033" target="_blank" rel="noopener noreferrer">https://doi.org/10.1051/aacus/2025033</a></p> <p> </p> <p>This dataset consists of three .csv files: </p> <ul> <li>alphas.csv: absorption coefficients vs. frequencies (comma-separated), 864 rows according <br>to 864 measurements </li> <li>targets.csv: one-hot encoded, i.e., binary, vectors of the parameter combinations), 864 rows <br>according to 864 measurements. The Read_Me.pdf gives further information on the one-hot <br>encoded vectors. </li> <li>diameter.csv: calliper diametric measurement in millimetres [mm]. This file contains <br>864 rows according to 864 measurements and 6 columns that, in order, represent: top <br>diameter at 0°, top diameter at 90°, bottom diameter at 0°, bottom diameter at 90°, <br>mean diameter, and standard deviation. </li> </ul> <p><br>The frequencies range from 150 Hz to 1600 Hz with resolution of 2 Hz. Note that these limits are <br>not strictly equal to the frequency limits of the impedance tube, see ISO 10534-2. </p> <p><br>The data and code are licensed under Apache License, Version 2.0 <br>https://opensource.org/licenses/Apache-2.0 </p> <p><br>Any reuse of the data must properly cite the dataset and its authors. </p> <p> </p> <p>Contact:<br>Univ.-Prof. Dr. Christian Adams<br>Graz University of Technology<br>Inffeldgasse 16c<br>8010 Graz, Austria<br>christian.adams@tugraz.at</p>
Original data for article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?"
<p>The uploaded Jupyter notebooks contain original data generation and processing methods used in the article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?" by A. Makogon, F. Kanoufi, and V. Shkirskiy</p>
Impedance data for various electrochemical and electrical systems
<p>Impedance dataset for different electrochemical and electrical systems:</p> <table> <tbody> <tr> <td> </td> <td> <p><strong>Lithium-Ion battery LFP (A123 26650)</strong></p> </td> <td> <p><strong>Lithium-Ion battery NCR (Panasonic 18650)</strong></p> </td> <td><strong>Vanadium redox-flow Battery</strong></td> <td><strong>Polymer electrolyte membrane fuel cell</strong></td> <td> <p><strong>High-temperature PEM (Custom made)</strong></p> </td> <td> <p><strong>Double-layer capacitor 3.4 kF (Maxwell)</strong></p> </td> <td> <p><strong>Analogue RLC circuit (Custom made)</strong></p> </td> </tr> <tr> <td>Details</td> <td>A123 Systems, <br>26650 lithium iron phosphate | graphite, 2,5 Ah</td> <td>Panasonic NCR-18650B, 18650 nickel-manganese-cobalt-oxid | graphite, 2.5 Ah</td> <td>Micro Flow Cell<br> (Electrocell A/S, Tarm, DK), surface 10 cm2 </td> <td>ElringKlinger<br>(EK) single PEM fuel cell, active surface area 50 cm2 </td> <td>Custom made fuel cell assembly, metallic bipolar plates with single serpentine flow-fields, electrode surface area of 4 cm², polybenzimidazole (PBI) membranes (Dapazol1, Danish Power Systems-DPS1) </td> <td>Maxwell, capacitance 3400 F, 2.85 V</td> <td>Custom made circuit with a parallel connection of a 2.2 μF foil capacitor and a lossy inductor with 9.7 mΩ and 5 mH, factory values may vary ± 10 %</td> </tr> <tr> <td>Operating point</td> <td>50% state of charge, 3.27 V, 20 °C</td> <td>50 % state of charge, 3.27 V, 20 °C</td> <td>50% state of charge, 1:4 V </td> <td>1 A, RH of 83.4%, stoichiometry of 4.0/2.0</td> <td>H2 / air stoichiometry 1.8 / 2.5, 160 °C, 800 mA/cm²</td> <td>voltage 603.5 mV, temperature 30 °C</td> <td>-</td> </tr> <tr> <td>Device</td> <td>Zahner Zennium Pro workstation</td> <td>Zahner Zennium Pro workstation</td> <td>Scribner 857, Gamry Reference 3000</td> <td>Scribner Associates fuel cell test station with 885 Fuel Cell Potentiostat</td> <td>Zahner Zennium Pro workstation</td> <td>Zahner Zennium Pro workstation</td> <td>Biologic VMP300</td> </tr> <tr> <td>EIS mode</td> <td>galvanostatic</td> <td>galvanostatic</td> <td>potentiostatic</td> <td>galvanostatic</td> <td>galvanostatic</td> <td>potentiostatic</td> <td>galvanostatic</td> </tr> <tr> <td>Amplitude</td> <td>30 mA</td> <td>250 mA</td> <td>10 mV</td> <td>100 mA</td> <td>100 mA</td> <td>10 mV</td> <td>30 mA</td> </tr> <tr> <td>Frequency</td> <td>52 mHz - 17 kHz</td> <td>10 mHz - 10 kHz</td> <td>100 mHz - 10 kHz</td> <td>10 mHz - 3.98 kHz</td> <td>100 mHz - 100 kHz</td> <td>100 mHz - 1 kHz</td> <td>100 Hz - 10 kHz</td> </tr> <tr> <td>Reference</td> <td>Danzer, M.A. (2019). Generalized Distribution of Relaxation Times Analysis for the Characterization of Impedance Spectra.</td> <td>Rüther, T., Schamel, M., Plank, C., Schomburg, F., Röder, F., & Danzer, M. A. (2023). Cell-to-Cell-Variations of a Panasonic NCR18650B. Zenodo. https://doi.org/10.5281/zenodo.8369275</td> <td> <p>Danzer, M.A. (2019). Generalized Distribution of Relaxation Times Analysis for the Characterization of Impedance Spectra.</p> <p>Schneider, J., Tichter, T., Khadke, P., Zeis, R., and Roth, C. (2020). Deconvolution of electrochemical impedance data for the monitoring of electrode degradation in VRFB. Electrochimica Acta 336, 135510.</p> <p> </p> </td> <td>Ivan Pivac, Ivar J. Halvorsen, Dario Bezmalinovic, Frano Barbir, & Federico Zenith. (2020). Low-frequency EIS intercept as a diagnostic tool for PEM fuel cells degradation. European Fuel Cell Technology & Applications Conference - Piero Lunghi Conference (EFC17), Naples, Italy. Zenodo. https://doi.org/10.5281/zenodo.3631156</td> <td>Weiß, A., Schindler, S., Galbiati, S., Danzer, M.A., and Zeis, R. (2017). Distribution of Relaxation Times Analysis of High-Temperature PEM Fuel Cell Impedance Spectra. Electrochimica Acta 230, 391–398.</td> <td>Danzer, M.A. (2019). Generalized Distribution of Relaxation Times Analysis for the Characterization of Impedance Spectra.</td> <td>-</td> </tr> </tbody> </table> <p> </p>
Impedance analysis with ELSA and DRT for various electrochemical and electrical systems
<p>Dataset of the analysis of various electrochemical and electrical systems with Electrochemical System Analysis (ELSA) and Distribution of Relaxation Times method (DRT). For full explanation see publication: [[ Electrochemical System Analysis – from impedance data to system identification ]]</p> <p>The impedance dataset used is available at Zenodo for download: doi:10.5281/zenodo.10794584. A detailed information about the systems and the properties of the spectrum can be found there. The following systems were analyzed:</p> <table> <tbody> <tr> <td> </td> <td> <p><strong>Lithium-Ion battery LFP (A123 26650)</strong></p> </td> <td> <p><strong>Lithium-Ion battery NCR (Panasonic 18650)</strong></p> </td> <td><strong>Vanadium redox-flow Battery</strong></td> <td><strong>Polymer electrolyte membrane fuel cell</strong></td> <td> <p><strong>High-temperature PEM (Custom made)</strong></p> </td> <td> <p><strong>Double-layer capacitor 3.4 kF (Maxwell)</strong></p> </td> <td> <p><strong>Analogue RLC circuit (Custom made)</strong></p> </td> </tr> <tr> <td>Details</td> <td>A123 Systems, <br>26650 lithium iron phosphate | graphite, 2,5 Ah</td> <td>Panasonic NCR-18650B, 18650 nickel-manganese-cobalt-oxid | graphite, 2.5 Ah</td> <td>Micro Flow Cell<br> (Electrocell A/S, Tarm, DK), surface 10 cm2 </td> <td>ElringKlinger<br>(EK) single PEM fuel cell, active surface area 50 cm2 </td> <td>Custom made fuel cell assembly, metallic bipolar plates with single serpentine flow-fields, electrode surface area of 4 cm², polybenzimidazole (PBI) membranes (Dapazol1, Danish Power Systems-DPS1) </td> <td>Maxwell, capacitance 3400 F, 2.85 V</td> <td>Custom made circuit with a parallel connection of a 2.2 μF foil capacitor and a lossy inductor with 9.7 mΩ and 5 mH, factory values may vary ± 10 %</td> </tr> </tbody> </table> <p>The data is available as .json and as .mat to allow easy import in different programming languages. Please note, that complex data in the .json files are converted to strings and thus need to be converted after importing.</p> <p><strong>Naming convention:</strong></p> <p>[[name of system]]_[[rxx (xx = model order for special cases)]]_[[method]]</p> <p>method: drt, elsa, elsa_simulation (simulated impedance data)</p> <p><strong>Data structure:</strong></p> <p>_meta: metadata for software package used<br>_class: classname for class used<br>config: configuration for the analysis<br>data: input data used for the analysis<br><br>Specific to ELSA:<br>- system: Here, all calculated systems (including zeros, poles, gain, partial fraction decomposition, ...) for every step are saved<br>- impedance: Simulated impedance and residuals for all systems<br><br>Specific to DRT:<br>- drt: Result of DRT calcualtion (including h, h_rc, h_rl, r_0, l_0, c_0, lambda, l_curve, ...)<br>- optimization: Matrices of the linear optimization problem<br>- simulation: Simulated impedance and residuals for calculated DRT<br><br></p>
Dataset of "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"
<p>This dataset supports the article published<em> </em>in the Advanced Energy Materials:</p> <p>"Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"</p> <p> </p> <p>Raw data for the article "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models". For further details see the readme.txt file.</p>
Fracture intensity dataset for the paper entitled "Pre-existing off-fault damage can impede coseismic on-fault slip"
<p>The locations of observation outcrops and pre-existing tectonic fracture intensity for the article: Wu, C. H., Cui, P., Klinger, Y., Tan, X. B.,Yi, S. J., & Li, Y. S. (2024). Pre‐existing off‐fault damage can impede coseismic on‐fault slip. Geophysical Research Letters,51, e2024GL111198. https://doi.org/10.1029/2024GL111198</p>
Dataset for the publication entitled: "Assessment of lithium ion battery ageing by combined impedance spectroscopy, functional microscopy and finite element modelling""
<p>Related to the publication: <a href="https://doi.org/10.1016/j.jpowsour.2021.230459">https://doi.org/10.1016/j.jpowsour.2021.230459</a></p> <p>Datasets for the following Figures:</p> <p>Figure 2.</p> <p>Figure 3.</p> <p>Figure 5.</p> <p>Figure 7.</p>
LiBforSecUse Data Release - Impedance spectra of life cycle tests of commercial 18650 cells
<p>The EMPIR project LiBforSecUse aimed to develop empirical measurement models to estimate the residual capacity of second-use Li-ion battery cells with impedance-based measurement and evaluation methods. The models have been established based on a series of life cycle tests of commercial 18650 (graphite/NMC) cells including regular impedance spectroscopy and capacity measurements. The measured data are made publicly available here. They can be downloaded to verify the models established within the project and they may be used for further investigations. However, the user is asked to pay tribute to the project and the researchers providing the data by citing this data source. A pdf file is added to give more detailed information on the data.</p>
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