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26 results for “flow battery”
Dataset of "Nickel-cobalt spinel-based oxygen evolution electrode for zinc-air flow battery"
<p>Following dataset provides all measured data that were collected on nickel (Ni) based electrodes for the oxygen evolution reaction. The electrodes were following: nickel (Ni) pristine mesh (PM), catalysed mesh (CM), nickel pristine foam (PF), catalysed foam (CF). Catalyst was NiCo2O4. Firstly, the catalysed electrodes were prepared and characterized by SEM, EDS and XRD. The electrodes were characterized in three different arrangements: in electrolysis non-flow arrangement, in a flow electrolysis cell and in ZAFB according to the manuscript.</p>
Dataset for "Methodology for fast testing of carbon-based nanostructured 3D electrodes in vanadium redox flow battery"
<p>Here, we describe a technique for integrating carbon-based rod-like nanomaterials into a vanadium redox flow battery and a methodology for fast nanomaterial performance testing. The technique is based on creating a fixed nanomaterial bed sandwiched between two graphite felt electrodes, forming a 3D flow-through electrode in the battery. Performing various positive and negative control experiments, we show the beneficial effect of a nanostructured bed on the primary battery characteristics obtained from short-term electrochemical experiments. We then characterize carbon nanotubes exhibiting promising electrochemical behavior in vanadium electrolytes, as observed in our previous study. The load curves obtained from charge-discharge steps at various current densities and electrolyte flow rates revealed considerable differences in the performance of the tested materials, with few-walled carbon nanotubes reaching unsurpassable characteristics. Although developed for vanadium redox flow batteries, the method enables testing tube-like and rod-like (nano-)materials as electrodes for other flow battery systems. </p>
Advancing Vanadium Redox Flow Battery Analysis: A Deep Learning Framework for High-Throughput 3D Visualization and Bubble Quantification via Synchrotron X-ray Tomography
<p>Dataset and model of UTILE-Redox - Deep Learning based Tool for Autonomous 3D Bubble Analysis of Vanadium Flow Batteries from Synchrotron X-ray Imaging. This project focuses on the deep learning-based automatic analysis of Vanadium Redox Flow Batteries (VRFB) Synchrotron X-ray tomographies. This repository contains the Python implementation of the UTILE-Redox software for automatic volume analysis, feature extraction, and visualization of the results.</p>
Dataset: A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery
<p>Dataset for the results shown in the publication "A Neutral pH Aqueous Biphasic System Applied to both Static and Flow Membrane-free Battery"</p>
Datasets : Unprecedented Aqueous Solubility of TEMPO and its Application as High Capacity Catholyte for Aqueous Organic Redox Flow Batteries
<p>Dataset of publication DOI: 10.1002/aenm.202301929 published in Advanced Energy Materials journal</p> <p>Despite the excellent electrochemical properties of non-functionalized 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO), its use in aqueous organic redox flow battery (AORFB) is hindered to date due to its insolubility in water. However, in this study, an unprecedented solubility of 5.6 M is demonstrated in an aqueous solution of lithium bis(trifluoromethanesulfonyl)imide (LiTFSI), which is 80 times higher than in water (0.07 M). A computational study reveals that the unique interaction between TEMPO and TFSI is essential to achieve this record solubility. TEMPO catholytes are tested in symmetric flow cells, demonstrating high capacity (23.85 AhL<sup>-1</sup>), high material utilization (89%), and robust reversible performance with long-term stability (low capacity fading of 0.082%/day). When paired with sulfonated viologen anolyte ((SPr2)V), an AORFB with low capacity fading over cycling (0.60%/day, 0.048%/cycle) is achieved, constituting the first example of a non-functionalized TEMPO catholyte for AORFB. Notably, this solubilization strategy could be applied to other unexplored chemistries in aqueous electrolytes, leading to the development of new AORFBs</p>
Dataset for On the Tunability of Toxicity for Viologen-Derivatives as Anolyte for Neutral Aqueous Organic Redox Flow Batteries
<p>Dataset of the results published in ChemSusChem 10.1002/cssc.202300626. Viologen-derivatives are the most widely used redox organic molecules for neutral pH negative electrolyte of redox flow batteries. However, the long-established toxicity of the herbicide methyl-viologen raises concern for deployment of viologen-derivatives at large scale in flow batteries. Herein, we demonstrate the radically different cytotoxicity and toxicology of a series of viologen-derivatives in in vitro assays using model organisms representative of human and environmental exposure, namely human lung carcinoma epithelial cell line (A549) and the yeast Saccharomyces cerevisiae. The results show that safe viologen derivatives can be molecularly engineered, representing a promising family of negolyte materials for neutral redox flow batteries</p>
Dataset for On the Relevance of Static Cells for Fast Scale-Up of New Redox Flow Battery Chemistries
<p>Dataset for the results shown in the publications "On the Relevance of Static Cells for Fast Scale-Up of New Redox Flow Battery Chemistries"</p>
Dataset for An Automatized Rebalancing System to Address Faradaic Imbalance and Prolong Cycle Life in Alkaline Ferrocyanide – Anthraquinone Redox Flow Batteries
<p>Dataset for the results shown in the publications "An Automatized Rebalancing System to Address Faradaic Imbalance and Prolong Cycle Life in Alkaline Ferrocyanide – Anthraquinone Redox Flow Batteries"</p>
In-operando visualization of redox flow battery in membrane-free microfluidic platform
<p>Images are raw data of main figure 1.(B-D) from "In-operando visualization of redox flow battery in membrane-free microfluidic platform"</p>
Dataset for the paper: "Carbon Aerogel Based Thin Electrodes for Zero-Gap all Vanadium Redox Flow Batteries – Quantifying the Factors Leading to Optimum Performance"
<p>The data in this spreadsheet was used to produce the figures in the paper </p> <p>Andres Parra-Puerto, Javier Rubio-Garcia, Matthew Markiewicz, Zhuo Zheng and Anthony Kucernak</p> <p>Carbon Aerogel Based Thin Electrodes for Zero-Gap all Vanadium Redox Flow Batteries – Quantifying the Factors Leading to Optimum Performance </p> <p>DOI: https://doi.org/10.1002/celc.202101617 </p> <p>Please cite the above reference if you wish to use this data </p> <p>DOI of this data file is: 10.5281/zenodo.6261512</p>
Dataset: Addressing Practical Use of Viologen-Derivatives in Redox Flow Batteries through Molecular Engineering
<p>Dataset for the results shown in the publications "Addressing Practical Use of Viologen-Derivatives in Redox Flow Batteries through Molecular Engineering"</p>
Cycle data of different laboratory flow batteries based on AQDS BQDS, MV TEMPOL and vanadium flow battery
<p>Cycle data of different organic and inorganic laboratory scale redox flow batteries with an active area of 40 cm², made during the EU-Project SONAR in the years 2020 - 2023.</p>
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>
Data file for paper: Rubio Garcia, Javier; Kucernak, Anthony; Zhao, Dong; Li, Danlei; Fahy, Kieran; Yufit, Vladimir; Brandon, Nigel; Gomez-Gonzalez, Miguel, "Hydrogen/manganese hybrid redox flow battery", Journal of Physics: Energy, 2018
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Rubio Garcia, Javier; Kucernak, Anthony; Zhao, Dong; Li, Danlei; Fahy, Kieran; Yufit, Vladimir; Brandon, Nigel; Gomez-Gonzalez, Miguel, "Hydrogen/manganese hybrid redox flow battery", Journal of Physics: Energy, 2018</p> <p>DOI: 10.1088/2515-7655/aaee17 </p> <p>Please cite the above reference if you wish to use this data</p>
Dataset for the paper "Aqueous Redox Flow Batteries: Small Organic Molecules for the Positive Electrolyte Species", ChemSusChem, DOI: 10.1002/cssc.202300303
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Authors:Christopher G. Cannon, Dr. Peter A. A. Klusener, Prof. Nigel P. Brandon, Prof. Anthony R. J. Kucernak</p> <p>Title:Aqueous Redox Flow Batteries: Small Organic Molecules for the Positive Electrolyte Species</p> <p>Journal:ChemSusChem</p> <p>DOI:10.1002/cssc.202300303</p> <p>Please cite the above reference if you wish to use this data</p>
Deliverable 3.4: Report of modelling flow batteries with the solid boosters
<p>Data for reproducing the results presented in Deliverable 3.4 "Report of modelling flow batteries with the solid boosters" belonging to the CompBat EU project, DOI:<a href="https://doi.org/10.3030/875565">10.3030/875565</a></p>
Density Functional Theory and Machine Learning for Electrochemical Square-Scheme Prediction: An Application to Quinone-type Molecules Relevant to Redox Flow Batteries
<p>The uploaded data contains (i) "<strong>01_Data</strong>" optimized molecular structure in XYZ format and the primary attributes and SMILES, (ii) "<strong>02_Datasets</strong>" datasets used in the publication, and (iv) "<strong>03_pynb_script</strong>" a Jupyter-Notebook. The <strong>01_Data </strong>directory contains more than 8000 subdirectories. Each is for a molecule that undergoes a two-proton two-electron transfer reaction. In each subdirectory, one finds the following files:</p> <p>(1) directories named corresponding to the ones in Figure 1 of the paper. Inside each, there are geometries and properties in XYZ and CSV format, respectively.</p> <p>(2)<strong> "freeEnergy.dat" </strong>contains the free energy of different states.</p> <p>(3) <strong>"schemesquare.dat" </strong>has the parameters of the electrochemical scheme of square representation.</p> <p>├── A<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── A1-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── A2-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH1+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH1-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH2<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH21+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH22+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── <strong>freeEnergy.dat</strong><br> └── <strong>schemesquare.dat</strong><br> ******************************************************<br> The new version (v1.1) contains some updates around:<br> (i) The DFT calculations workflow in a folder called "<strong>04_workflow_of_DFT</strong>"</p> <p> The Gaussian input files have been explained in the "README" file.</p> <p>(ii) The Python scripts for data extraction have been added and can be found in "<strong>05_how_to_extracted_data</strong>"</p> <p>(iii) We explained how to compute the Purbaix diagram in great detail "<strong>06_how_to_compute_Pourbaix_diagram</strong>/"</p> <p>All these changes/improvements were applied/made following the Referee of Digital Discovery Journal. Here, we would like to thank him/her.</p>
In-operando visualization of redox flow battery in membrane-free microfluidic platform
<p>The video files are raw data of in-operando visualization of MFRFB that correspond to figure 2.C,E in manuscript.</p>
Enhanced surface area carbon cathodes for the hydrogen-bromine redox flow battery
<p>Raw data by published figure</p>
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OpenNeuro
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