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25 results for “Impedance Spectroscopy”
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.
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>
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>
In vivo and in vitro electrochemical impedance spectroscopy analysis of acute and chronic intracranial electrodes
<p>Invasive intracranial electrodes are used in both clinical and research applications for recording and stimulation of brain tissue, providing essential data in acute and chronic contexts. The impedance characteristics of the electrode–tissue interface (ETI) evolve over time and can change dramatically relative to pre-implantation baseline. Understanding how ETI properties contribute to the recording and stimulation characteristics of an electrode can provide valuable insights for users who often do not have access to complex impedance characterizations of their devices. In contrast to the typical method of characterizing electrical impedance at a single frequency, we demonstrate a method for using electrochemical impedance spectroscopy (EIS) to investigate complex characteristics of the ETI of several commonly used acute and chronic electrodes. We also describe precise modeling strategies for verifying the accuracy of our instrumentation and understanding device–solution interactions, both in vivo and in vitro. Included with this publication is a dataset containing both in vitro and in vivo device characterizations, as well as some examples of modeling and error structure analysis results. These data can be used for more detailed interpretation of neural recordings performed on common electrode types, providing a more complete picture of their properties than is often available to users.</p>
In vivo and in vitro electrochemical impedance spectroscopy analysis of acute and chronic intracranial electrodes
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Investigation via Electron Microscopy and Electrochemical Impedance Spectroscopy of the Effect of Aqueous Zinc Ions on Passivity and the Surface Films of Alloy 600 in PWR PW at 320 C
<p>This upload includes the raw EDS data in Bruker Esprit format and the raw EIS data in excel dat format that is presented in the manuscript published in Corrosion and Materials Degradation entitled <em>Investigation via Electron Microscopy and Electrochemical Impedance Spectroscopy of the Effect of Aqueous Zinc Ions on Passivity and the Surface Films of Alloy 600 in PWR PW at 320 C.</em></p>
Electrochemical low-frequency impedance spectroscopy algorith for diagnostics of PEM fuel cell degradation
<p>In order to estimate fuel-cell degradation status on-line and inexpensively, a diagnostic technique based on relay feedback is developed. The technique can obtain critical parameters within seconds of start-up and is robust to measurement bias.</p> <p>Electrochemical impedance spectroscopy (EIS) is a popular laboratory technique to perform diagnostics on electrochemical systems such as fuel cells, but its application to real-life fuel-cell systems is difficult because of the size and cost of the apparatus. In this study, we present a more detailed equivalent-circuit model for a PEM fuel cell, able to explain the positive reactance shown at low frequencies.</p> <p>Some of these characteristics, measured at several stages during an Accelerated Stress Test (AST), progress gradually with catalyst degradation, providing an effective prognostic variable. In order to measure these characteristics, a relay-based feedback excitation algorithm is developed to estimate the low-frequency intercept in the Nyquist plane of the cell impedance without resorting to a full-fledged EIS.</p> <p>The simulations indicate that the algorithm converges to an estimate within about 5 seconds, and is robust to bias. The algorithm can be run within the standard control system that fuel cells are usually equipped with, with no additional hardware.</p>
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
<p>Dataset accompanying the paper: "Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning"</p>
Dataset for the paper "A catalyst layer optimisation approach using electrochemical impedance spectroscopy for PEM fuel cells operated with pyrolysed transition metal-N-C catalysts", J Power Sources, 2016, DOI: 10.1016/j.jpowsour.2016.05.035
<p>Data file for paper:"A catalyst layer optimisation approach using electrochemical impedance spectroscopy for PEM fuel cells operated with pyrolysed transition metal-N-C catalysts"</p> <p>Daniel Malko, Thiago Lopes, Edson A. Ticianelli, Anthony Kucernak</p> <p>Journal of Power Sources, 2016</p> <p>DOI: 10.1016/j.jpowsour.2016.05.035</p> <p>Please cite the above paper if you use this data</p>
State of Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy and Backpropagation Neural Network
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Impedance spectroscopy of chiral symmetric topoelectrical circuits
<p>This code reproduces our results.</p>
Impedance Spectroscopy in Esophageal Cancer
ClinicalTrials.gov study NCT04046601. IPD Sharing: YES. Countries: 1. Publications: 1.
Bioelectrical Impedance Spectroscopy in Heart Transplantation: Tracking Post-Transplant Changes in Body Composition and Correlation With Conventional Preoperative Risk Assessment Modalities
ClinicalTrials.gov study NCT03373279. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Use of Electrical Impedance Spectroscopy (EIS) for Early Diagnosis of Skin Damage
ClinicalTrials.gov study NCT04688749. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Raw data and Matlab code for the article "Impedance spectroscopy analysis of thermoelectric modules under actual energy harvesting operating conditions and a small temperature difference"
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Label-Free Differentiation of Living versus Dead Single Yeast Cells using Broadband Electrical Impedance Spectroscopy
<p>Data to support manuscript.</p>
Raw data for the article "Impedance spectroscopy analysis of a thermo-electrochemical cell under operating conditions"
<p>Data used for the plots of the article: S. Castro-Ruiz and J. García-Cañadas, "Impedance Spectroscopy Analysis of a Thermo-Electrochemical Cell Under Operating Conditions," <em>2022 International Workshop on Impedance Spectroscopy (IWIS)</em>, 2022, pp. 25-27, doi: 10.1109/IWIS57888.2022.9975126.</p>
Clinical Utility of Electrical Impedance Spectroscopy
ClinicalTrials.gov study NCT04161742. IPD Sharing: NO. Countries: 0. Publications: 2.
Impedance Spectroscopy for Obstetric Anal Sphincter Injuries Detection
ClinicalTrials.gov study NCT04181840. IPD Sharing: NO. Countries: 1. Publications: 0.
NIR- and Multifrequent Impedance Spectroscopy on the Skin in Type 1 Diabetes
ClinicalTrials.gov study NCT01707979. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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