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34 results for “Electrochemical cell”
Dataset for: Associating Mechano-electrochemical Phenomena to Stochastic Current Events in Micro-Electrochemical Cells Containing TiNb2O7 Particles
<p>This is the raw data used in a manuscript that will be submitted to ChemElectroChem. If you have any questions, please email the creators.</p>
Dataset for Towards improved online dissolution evaluation of Pt-alloy PEMFC electrocatalysts via electrochemical flow cell - ICP-MS setup upgrades
<p>Experimental data comprises raw data from ICP-MS (Inductively coupled plasma mass spectrometry) (i.e. time dependence of signal intensity for Co59 and Pt195) for different cell geometry and operating parameters. <br>Model data comprise of time- and space-dependent values of Pt ions concentration in the modelling cell and local velocity vectors.</p>
Dataset of "Capabilities of a novel electrochemical cell for operando XAS and SAXS investigations for PEM fuel cells and water electrolysers"
<p>With this work we present a reversible electrochemical cell and introduce a valuable approach, suitable for being used either for in operando X-Ray Absorption Spectroscopy (XAS) and Small Angle X-Ray Scattering (SAXS). The reversible electrochemical cell was used to depict the time-resolved degradation of a Pt/C catalyst material for Proton Exchange Membrane Fuel Cells (PEMFC). The evolution of the specific electrochemical active surface area (ECSA) was coupled to the evolution of morphological parameters, supported by the analysis of Pt oxidation state. As a result, we obtain a coherent picture in which: the increase of particle (and particle cluster) size is connected to the diminishing of ECSA and to the changes in the fraction of metallic Pt, detailing as the evolution develops in the first 2000 cycles, as previously observed on catalyst model systems. Finally, we introduce some preliminary results underlying the change in Ir oxidation state for a commercial Ir/IrO X catalyst material for PEM water electrolysers and showing as this change is not sufficient to induce any remarkable morphological variations within 500 cycles of accelerated stress tests.</p>
NewSOC, supplementary information to WT2.5.4 "Cells with honeycomb structured oxygen electrodes": electrochemical and post-mortem data sets.
<p>These are data set, related to participation of the IEN in project NewSOC. It includes results of the SEM-EDS analysis of the cells with hexagonal current collecting net and electrochemical performance data, both EIS and C-V characteristics. Results are grouped in zip archives, named according to cell design, “infill-net”.</p> <p>Compositions:</p> <p>LNF – LaNi<sub>0.6</sub>Fe<sub>0.4</sub>O<sub>3</sub> (net)</p> <p>LSC – La<sub>0.6</sub>Sr<sub>0.4</sub>CoO<sub>3-</sub><sub>d</sub> (infill)</p> <p>LSF – La<sub>0.5</sub>Sr<sub>0.5</sub>FeO<sub>3-</sub><sub>d</sub> (infill)</p> <p>LSCCF – La<sub>0.6</sub>Sr<sub>0.4</sub>Co<sub>0.15</sub>Cu<sub>0.05</sub>Fe<sub>0.8</sub>O<sub>3-</sub><sub>d </sub>(net)</p> <p>PCM – Pr<sub>0.5</sub>Ca<sub>0.5</sub>MnO<sub>3 </sub>(net)</p> <p>BSCFM – Ba<sub>0.5</sub>Sr<sub>0.5</sub>Co<sub>0.725</sub>Fe<sub>0.2</sub>Mo<sub>0.075</sub>O<sub>3-</sub><sub>d</sub> (infill)</p> <p> </p> <p><strong>Data presentation. </strong></p> <p><em>C-V characteristics:</em></p> <p>This is text files, generated by Zahner galvanostat, with self-decriptional titles.</p> <p>“05iv_650c_100h2+100h2o_500air.txt” – measurement at 650°C, 100 mL/min H<sub>2</sub> and 100 mL/min H<sub>2</sub>O on fuel side, 500 mL/min of air on air side.</p> <p><em>EIS data:</em></p> <p>EIS results were extracted from proprietary binary files, generated by Zahner galvanostat, and raw data is generally meaningless except the owners of such hardware. So, extracted EIS can be found in Excel files, used in analysis, in sheet “Experimental”. Other sheets in xlsx include some metadata (“info”), results of the equivalent circuit fit (“fit”) and some plots. Fit results might not be relevant. </p> <p><em>SEM</em></p> <p>Post-mortem results presented as SEM images (tif or jpg files) and pdf files with results of the EDS analysis.</p> <p><strong>LSC-LNF </strong></p> <p><em>(air flow 1 L/min, current density 0.25 A/cm<sup>2</sup>)</em></p> <p>test_1_07: </p> <p>03_eis20200917142808.xlsx – EIS, SOFC, 700°C, Flows L/min: F:0.2 H<sub>2</sub>;</p> <p>05_eis20200917123105.xlsx – EIS, SOFC, 700°C, flows L/min: F:0.1 H<sub>2</sub>+ 0.1 H<sub>2</sub>O;</p> <p>08_eis20200917123857.xlsx – EIS, SOFC, 700°C, flows L/min: F:0.1 H<sub>2</sub>+ 0.1 H<sub>2</sub>O;</p> <p>10_eis20200917131537.xlsx – EIS, SOEC, 700°C, flows L/min: F:0.1 H<sub>2</sub>+ 0.1 H<sub>2</sub>O;</p> <p>test_1_08:</p> <p>03_eis20200917125707.xlsx – EIS, SOFC, 700°C, Flows L/min: F:0.2 H<sub>2</sub>;</p> <p>09_eis20200917130019.xlsx – EIS, SOEC, 700°C, flows L/min: F:0.09 H<sub>2</sub>+ 0.21 H<sub>2</sub>O;</p> <p>10_eis20200917130600.xlsx – EIS, SOFC, 700°C, flows L/min: F:0.06 H<sub>2</sub>+ 0.14 H<sub>2</sub>O;</p> <p>12_eis20200917130737.xlsx – EIS, SOEC, 700°C, flows L/min: F:0.12 H<sub>2</sub>+ 0.28 H<sub>2</sub>O;</p> <p>test_3_14:</p> <p>01_eis20210517102042.xlsx– EIS, SOFC, 700°C, Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>; 05_eis20210517102625.xlsx– EIS, SOFC, 700°C, flows L/min: F:0.1 H<sub>2</sub>+ 0.1 H<sub>2</sub>O;</p> <p>07_eis20210517102305.xlsx– EIS, SOEC, 700°C, flows L/min: F:0.06 H<sub>2</sub>+ 0.14 H<sub>2</sub>O;</p> <p>SEM</p> <p><em>(post-mortem after test_1_07)</em></p> <p>ogniwo_310_2020 ****.jpg - surface</p> <p> </p> <p><strong>BSCMF-PCM</strong></p> <p><em>(SOFC, air flow 0.5 L/min)</em></p> <p>test_2_14</p> <p>01eis_700c_cc4a_100h2+100n2_500air_eqc20220110112836.xlsx –700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub></p> <p>02eis_700c_cc4a_100h2+100h2o_500ai_eqc20220110112724.xlsx –700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>04eis_650c_cc3a_100h2+100h2o_500ai_eqc20220110112503.xlsx–650°C, 0.1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>06eis_650c_cc3a_100h2+100n2_500air_eqc20220110112332.xlsx –650°C, 0.1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>07eis_625c_cc3a_100h2+100n2_500air_eqc20220110112214.xlsx –625°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>08eis_625c_cc3a_100h2+100h2o_500ai_eqc20220110111834.xlsx–625°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>test_1_67</p> <p>01_eqc20220831134628.xlsx–700°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub></p> <p>02_eqc20220831134724.xlsx - 700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>04_eqc20220831135442.xlsx–650°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>06_eqc20220831135622.xlsx - 650°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>08_eqc20220831135801.xlsx - 625°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>09_eqc20220831135933.xlsx –650°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>SEM</p> <p><em>(post-mortem of the test_2_14)</em></p> <p>493-2021-1.pdf, 493-2021-1i.pdf, 493-2021-2.pdf, 493-2021-2-2.pdf, 493-2021-2-3.pdf –cross-sections with EDS</p> <p>493_2021_*_**.tif - cross-sections</p> <p> </p> <p><strong>BSCMF-LSCCF</strong></p> <p><em>(SOFC, air flow 0.5 L/min)</em></p> <p> test_2_08</p> <p>01_eis20211104144342.xlsx - 700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2 </sub></p> <p>03eis_700c__eis20211108102241.xlsx - 700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>04eis_700c__eis20211108102401.xlsx - 700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>08eis__eis20211110094642.xlsx - 650°C, 0.1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2 </sub></p> <p>10eis__eis20211110094945.xlsx - 650°C, 0.1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>11eis__eis20211110101358.xlsx - 625°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>13eis__eis20211110100837.xlsx- 625°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p> test_2_26</p> <p>04_eqc20220817114103.xlsx - 700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>06_eqc20220817121529.xlsx - 700°C, 0.25 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2 </sub></p> <p>07_eqc20220802084119.xlsx - 650°C, 0.1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1</p> <p>08_eqc20220802084616.xlsx - 650°C, 0.1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>10_eqc20220802150705.xlsx - 625°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>11_eqc20220802150108.xlsx - 625°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>SEM</p> <p><em>(post-mortem of the test_2_26)</em></p> <p>661_BSCMF_LSCCF_p.pdf – cross-section with EDS</p> <p>661_BSCMF_LSCCF_PM.pdf - surface with EDS</p> <p>661_BSCMF_LSCCF_p_01.tif, 661_BSCMF_LSCCF_p_02.tif, 661_BSCMF_LSCCF_p_03.tif, 661_BSCMF_LSCCF_p_04.tif - cross-section, infill zone</p> <p>661_BSCMF_LSCCF_p_05.tif, 661_BSCMF_LSCCF_p_06.tif - cross-section, net zone zone</p> <p>661_BSCMF_LSCCF_PM_**.tif - surface</p> <p> </p> <p><strong>LSF-LSCCF</strong></p> <p><em>(SOFC, air flow 0.5 L/min)</em></p> <p>test_1_65</p> <p>01_eqc20220816105347.xlsx - 700°C, 0. 1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>02_eqc20220816105941.xlsx - 700°C, 0. 1875 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>04_eqc20220816112311.xlsx - 650°C, 0. 125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>06_eqc20220816111640.xlsx - 650°C, 0.125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>07_eqc20220816142436.xlsx- 625°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>08_eqc20220816142842.xlsx-625°C, 0.625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>SEM</p> <p><em>(post-mortem) </em></p> <p>663_LSF_LSCCF_p.pdf – cross-section with EDS</p> <p>663_LSF_LSCCF_PM.pdf - surface with EDS</p> <p>663_LSF_LSCCF_P_GR_**.tif – cross-section of the cell</p> <p>663_LSF_LSCCF_P_LSCCF_**.tif – surface of the LSCCF grid</p> <p>663_LSF_LSCCF_PM_**.tif - surface of the LSF infill</p> <p> </p> <p> </p> <p><strong>LSF-PCM</strong></p> <p><em>(SOFC, air flow 0.5 L/min)</em></p> <p>tests_1_66</p> <p>01_eqc20220831133210.xlsx - 700°C, 0. 125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub></p> <p>02_eqc20220831133409.xlsx - 700°C, 0. 125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub></p> <p>03_eqc20220831133928.xlsx - 700°C, 0. 125 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>05_eqc20220831134048.xlsx - 650°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>06_eqc20220831134142.xlsx - 650°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>08_eqc20220831134237.xlsx - 625°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 H<sub>2</sub>O;</p> <p>10_eqc20220831134412.xlsx - 625°C, 0.0625 A/cm<sup>2</sup> Flows L/min: F:0.1 H<sub>2</sub>+0.1 N<sub>2</sub>;</p> <p>SEM</p> <p><em>(post-mortem)</em></p> <p>658_LSF_PCM_p.pdf – cross-section with EDS</p> <p>658_LSF_PCM_PM.pdf - surface with EDS</p> <p>658_LSF_PCM_P_LSF_**.tif – cross-section, infill zone</p> <p>658_LSF_PCM_P_pcm_**.tif - cross-section, net zone</p> <p>658_LSF_PCM_PM_**.tif - surface</p> <p><strong>description.pdf </strong>- pdf version of this information.</p>
Dataset for the development of a "Flow cell for operando X-ray photon-in-photon-out studies on photo-electrochemical thin film devices"
<p>All raw experimental data concerning this published ChemRxiv manuscript: https://doi.org/10.26434/chemrxiv.12382529.v1 which is now published slightly revised here: https://doi.org/10.12688/openreseurope.14433.1<br> <br> The dataset comprises raw data, analysis and short description:<br> - the CAD-files of the operando cell<br> - the grazing-incidence X-ray diffraction (GIXRD) files of the as-synthesized thin film samples<br> - the high-energy resolution fluoresence-detected (HERFD) X-ray absorption (XAS) files of thin films during photoelectrochemical experimentation<br> - the photoelectrochemical data gathered during HERFD-XAS experiments<br> - the non-operando photoelectrochemical data on the thin film samples<br> - scanning electron microscopy (SEM) image of a representative thin film cross-section<br> - the extended data contains additional information arranged in a word document that are directly linked to the main manuscript</p>
Raw data for the article entitled ''Evaluation of in-plane architecture in a thermo-electrochemical cell with nanostructured and porous Sb:SnO2 electrodes''
<p>Raw data for the plots in the article entitled ''Evaluation of in-plane architecture in a thermo-electrochemical cell with nanostructured and porous Sb:SnO2 electrodes''.</p>
Dataset for Fast Li-ion Storage and Dynamics in TiO2 Nanoparticle Clusters Probed by Smart Scanning Electrochemical Cell Microscopy
<p>This dataset provides the raw data to the manuscript </p> <p><strong>"Fast Li-ion Storage and Dynamics in TiO<sub>2</sub> Nanoparticle Clusters Probed by Smart Scanning Electrochemical Cell Microscopy"</strong> published in Angewandte Chemie International Edition.</p> <p>Specifically, the following measurements are provided:</p> <ul> <li>Powder XRD data for the commercial anatase TiO<sub>2</sub>.</li> <li>Cyclic voltammetry data from SECCM measurements.</li> <li>SEM images of the TiO<sub>2</sub> nanoparticles after SECCM tip landing and electrochemical measurement.</li> </ul>
NewSOC, supplementary information to WT2.3 "Development of doped lanthanum chromite based fuel electrodes", WT2.5 "Electrochemical characterization of single cells"
<p>These are experimental data related to CERTH participation in NewSOC project (874577) regarding WT2.3 “Development of doped lanthanum chromite based fuel electrodes”, WT2.5 “Electrochemical characterization of single cells”. The data set includes:</p> <ul> <li>physicochemical characterization (ICP, BET, XRD and SEM) of the powders and electrodes or cells produced (SEM)</li> <li>electrochemical characterization (iV characteristics, impedance, stability tests)</li> </ul> <p> </p> <p><strong>LSCrF0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV, EIS and stability testing for button cells using different electrolyte substrates (formulation and thickness) and oxygen electrode materials operating under steam electrolysis, co-electrolysis of steam and carbon dioxide and reversible operation in steam or carbon dioxide cycle.</p> <p><strong>LSCrF0.5.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Ni<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrNi0.5.rar:</strong> The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Ni<sub>0.5</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, and (B) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrMn0.1.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Mn<sub>0.1</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.05Ti0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>Ti<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.05V0.05.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.9</sub>Fe<sub>0.05</sub>V<sub>0.05</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.</p> <p><strong>LSCrF0.25Ti0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>Ti<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide. </p> <p><strong>LSCrF0.25V0.25.rar</strong>: The zip folder contains data related to La<sub>0.75</sub>Sr<sub>0.25</sub>Cr<sub>0.5</sub>Fe<sub>0.25</sub>V<sub>0.25</sub>O<sub>3-δ</sub> material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p><strong>Ni-GDC.rar</strong>: The zip folder contains data related to button cell stability testing using a commercial Ni-GDC fuel electrode material operating under steam electrolysis. </p> <p><strong>LARGE CELLS.rar</strong>: Data set for large cells (5x5 cm2) including iV, EIS and short-term stability testing employing Keracell III cell, Ni-GDC and LSCrF0.1 fuel electrodes operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.</p> <p> </p> <p> </p> <p> </p>
Investigation on anodes from anode supported cells manufactured by Solidpower and aged by IEES-BAS with electrochemical characterization.
<p>samples are mounted in epoxy-resin and polished up to 250nm using diamond paste on specific tissue (MD-NAP, Struers). Observation by SEM (ZEISS EVO 40) using backscattered electrons as the contrast method. Chemical analysis performed using EDS after calibration with Co standard and using ZAF algorithm correction. The standard magnification is 5000. The pictures are further threated using ImageJ software for quantitative image analysis. Porosity and Nickel particles are highlighted by using Coreldraw software image enhancements.</p>
Digital twin of a standard electrochemical cell for cyclic voltammetry based on Nernst-Planck-Poisson model
<p>The project contains a COMSOL file used for the simulations in the publication "<em>Digital twin of a standard electrochemical cell for cyclic voltammetry based on Nernst-Planck-Poisson model</em>".</p>
Operando magnetic resonance imaging for mapping of temperature and redox species in thermo-electrochemical cells
<p>Raw data for our publication "Operando magnetic resonance imaging for mapping of temperature and redox species in thermo-electrochemical cells", including imaging files (Paravision), ASCII, MATLAB and EC Lab data files organised corresponding to each figure in the paper and supplementary information.</p>
Dataset: Carbonate Regeneration Using a Membrane Electrochemical Cell for Efficient CO2 Capture
<p>Dataset for journal publication "Carbonate Regeneration Using a Membrane Electrochemical Cell for Efficient CO2 Capture," published in ACS Sustainable Chemistry & Engineering (DOI: 10.1021/acssuschemeng.2c04175). Data are organized according to figure number.</p>
Data from: A tutorial for scanning electrochemical cell microscopy (SECCM) measurements: Step-by-Step instructions, visual resources, and guidance for first experiments
Open the record for dataset details and reuse information.
Lithium extraction from brine through a decoupled and membrane-free electrochemical cell design
Open the record for dataset details and reuse information.
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>
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>
Controlled Li Alloying by Post-Synthesis Electrochemical Treatment of Cu2ZnSn(S, Se)4 Absorbers for Solar Cells
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Dataset related to the publication "Accelerated Electrochemical Investigation of Li Plating Efficiency as Key Parameter for Li Metal Batteries Utilizing a Scanning Droplet Cell"
<p>Related to the publication "Accelerated Electrochemical Investigation of Li Plating Efficiency as Key Parameter for Li Metal Batteries Utilizing a Scanning Droplet Cell" <a href="https://www.zenodo.org/record/5503915">https://www.zenodo.org/record/5503915</a></p> <p>The file contains raw data of the results shown in Figure 1, 2, 3, 4, 6, 7, 8, S1 and S2.</p>
Videos of electrochemiluminescence response for paper "Direct visualization of reactant transport in forced convection electrochemical cells and its application to Redox Flow Batteries"
<p>Videos showing the real time electrochemiluminescent light production in a serpentine flow field of a redox flow battery type system. The two videos show the difference when only an ITO electrode is used compared to when an ITO and carbon paper electrode is used.</p>
Data file for paper: Javier Rubio-Garcia; Anthony R J Kucernak, and Alexandra Charleson, "Direct visualization of reactant transport in forced convection electrochemical cells and its application to Redox Flow Batteries, Electrochemistry Communications, 2018
<p>Excel Data file containing the data presented in the figures of the paper:</p> <p>Javier Rubio-Garcia; Anthony R J Kucernak, and Alexandra Charleson, "Direct visualization of reactant transport in forced convection electrochemical cells and its application to Redox Flow Batteries</p> <p>Electrochemistry Communications, 2018,</p> <p>DOI:10.1016/j.elecom.2018.07.002</p> <p>Please cite the above reference if you wish to use this data</p>
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.