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34 results for “Photocatalyst”
Data: Steering photoinduced electron transfer in intramolecular photocatalysts by peripheral ligand control
<p>The data presented herein is analysed and showcased within the <i>ChemRxiv</i> article titled "<i>Steering photoinduced electron transfer in intramolecular photocatalysts by peripheral ligand control</i>" (<a href="10.26434/chemrxiv-2023-vspb5"><strong>DOI </strong></a><a href="https://doi.org/10.26434/chemrxiv-2023-vspb5"><strong>10.26434/chemrxiv-2023-vspb5</strong></a>). Kindly acknowledge and cite this article when referencing or utilizing the provided data.</p>
Arsenic(III) photocatalytic oxidation kinetics (using TiO2 and composite TiO2/Fe2O3 photocatalysts)
<p>Data sets on the photocatalytic oxidation of arsenic(III) using TiO<sub>2</sub> and composite TiO<sub>2</sub>/Fe<sub>2</sub>O<sub>3</sub> photocatalysts.</p>
BenjaminSMoss/Sheets-project-source-data: Photocatalyst Sheets Source Data NM19124170A
<p>Source data in opj format (OriginPro) from our publication in Nature Materials (2020) entitled Linking in-situ charge accumulation to electronic structure in doped SrTiO3 reveals design principles for hydrogen evolving photocatalysts. by Benjamin Moss, Qian Wang, Keith T. Butler, Ricardo Grau-Crespo, Shababa Selim, Anna Regoutz , Takashi Hisatomi , Robert Godin, David J. Payne, Andreas Kafizas, Kazunari Domen, Ludmilla Steier* and James R. Durrant</p>
Data for article: Time-Resolved Spectroscopic Investigation of Charge Trapping in Carbon Nitrides Photocatalysts for Hydrogen Generation
<p>This is the data presented in the article titled 'Time-Resolved Spectroscopic Investigation of Charge Trapping in Carbon Nitrides Photocatalysts for Hydrogen Generation', published in the Journal of the American Chemical Society. DOI:10.1021/jacs.7b01547</p> <p>http://pubs.acs.org/doi/abs/10.1021/jacs.7b01547</p> <p> </p>
Humidity and temperature influence on the self-cleaning performance of building materials containing the photocatalysts
<p>Datasets for article Humidity and temperature influence on the self-cleaning performance of building materials containing the photocatalysts</p>
Dataset for "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO2 and Au/TiO2 Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase"
<p>This dataset is related to "Light and Mass Transport Computations Guide the Fabrication of 3D-Structured TiO<sub>2</sub> and Au/TiO<sub>2</sub> Aerogel Photocatalysts for Efficient Hydrogen Production in the Gas Phase" published in <em> Chemistry of Materials</em> <strong>2023</strong> <em>35</em> (10), 3849-3858.</p> <p>Each file contains the dataset for the respective Figure.</p> <p><strong>File 'Figure 1': </strong>Optical Photograph and SEM images of a 3D printed TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure 2': </strong>The subdirectory <em>'absorbed'</em> contains data for the calculation of the light absorption of unstructured, sc-structured, and fcc-structured aerogels. A more detailed description is presented in the <em>'readme</em>' file. The subdirectory <em>'flux_time_resolved'</em> contains data for the calculation of the time-resolved flux in a fcc-structured aerogel. A more detailed description is presented in the readme file.</p> <p><strong>File 'Figure 3': </strong>Measured and calculated data of the pressure drop of unstructured, sc-structured, and fcc-structured aerogels. Images of the velocity profile. Images of simulated velocity profiles of an sc-structured aerogel without and with a surrounding wall. The simulations were performed in COMSOL.</p> <p><strong>File 'Figure 4': </strong>Data of the hydrogen evolution experiments.</p> <p><strong>File 'Figure SI1 and Table SI1': </strong>Data of nitrogen physisorption experiments. <em>'Figure_SI1-sample-identification'</em> contains a list to assign the dataset to the respective subfigures in Figure SI1. <em>'Table_SI1-sample-identification' </em>contains a list to assign the dataset to the respective entry in Table SI1.</p> <p><strong>File 'Figure SI2': </strong>Data of the hydrogen evolution experiments with a gas stream containing pure water and a water/methanol mixture, respectively.</p> <p><strong>File 'Figure SI3': </strong>Data of the UV cleaning experiment.</p> <p><strong>File 'Figure SI4': </strong>Chromatograms recorded during hydrogen evolution experiments to discuss the formation of side products.</p> <p><strong>File 'Figure SI5':</strong> Data of two consecutive hydrogen evolution experiments.</p> <p><strong>File 'Figure SI6': </strong>Data of the hydrogen evolution experiments for an fcc-structured and sc-structured TiO<sub>2</sub> aerogel of similar light absorption. Image of a simulated velocity profiles for an unstructured aerogel. The simulation were performed in COMSOL.</p> <p><strong>File 'Figure SI7': </strong>Data of an hydrogen evolution experiments of an fcc-structured TiO<sub>2</sub> aerogel for flow rates in a range of 1.25 to 20 mL min<sup>-1</sup>.</p> <p><strong>File 'Figure SI8': </strong>TEM/STEM images including EDX mapping of an Au/TiO<sub>2</sub> aerogel fragment.</p> <p><strong>File 'Figure SI9': </strong>Data of the hydrogen evolution, the irradiance of the LED, and the amount of water and methanol.</p> <p><strong>File 'Figure SI10': </strong>Attenuated total reflection infrared spectra of TiO<sub>2</sub> nanoparticle powder and aerogel after UV cleaning.</p> <p><strong>File 'Figure SI11': </strong>XRD pattern of TiO<sub>2</sub> nanoparticles and a reference of anatase TiO<sub>2</sub>.</p> <p><strong>File 'Figure SI12': </strong>Data of hydrogen evoltion for TiO<sub>2</sub> nanoparticle powders.</p> <p><strong>File 'Figure SI13': </strong>Transmission and reflectance spectra of a TiO<sub>2</sub> aerogel.</p> <p><strong>File 'Figure SI14': </strong>Calculated transmission and reflectance for an optical thickness and a scattering albedo in a range of 0 to 5 and 0 to 1, respectively. The data was calculated by solving the radiative transfer equation, as implemented in the DISORT algorithm. A more detailed description of the calculation and data processing is provided in the <em>'readme'</em> file. The code of the DISORT algorithm is provided in the <em>'DISORT'</em> subdirectory.</p> <p><strong>File 'Figure SI16': </strong>Data of the derived absorption and scattering coefficient.</p> <p><strong>File 'Figure SI17': </strong>Data of the light absorption and the scattering coefficient. The <em>'readme'</em> file contains a description of the data processing for the light absorption dataset.</p>
Photophysical and Spectroscopic dataset for Ag-In-Zn-S alloyed nanocrystals as photocatalysts of controlled light-mediated radical polymerization
<p>(1) Energy-dispersive spectra of alloyed Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals.</p> <p>(2) HR-TEM images of alloyed Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals.</p> <p>(3) X-ray powder diffractograms of alloyed Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals.</p> <p>(4) UV-vis-NIR spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals.</p> <p>(5) Photoluminescence excitation and emission spectra of toluene dispersion of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals.</p> <p>(6) <sup>1</sup>H and <sup>13</sup>C NMR spectra (in benzene-<em>d<sub>6</sub></em>) of the reaction mixture used for the photocatalytic bulk and solution polymerization of methyl methacrylate (MMA) with <a name="_Hlk161909311"></a>Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals as a photocatalyst.</p> <p>(7) SEC profiles of PMMA prepared in bulk and solution polymerization.</p> <p>(8) MALDI-TOF spectra in the low and high molecular weight ranges of PMMA synthesized in the presence of Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals as photocatalysts.</p> <p>(9) EPR spectra of adducts generated for Ag<sub>1.0</sub>In<sub>1.5</sub>Zn<sub>0.3</sub>S<sub>3.3</sub> (R) and Ag<sub>1.0</sub>In<sub>10.3</sub>Zn<sub>12.4</sub>S<sub>11.8</sub> (G) nanocrystals + 5,5-dimethyl-1-pyrroline-<em>N</em>-oxide (DMPO) under illumination by a green LED (l = 523 nm).</p> <p>This work was supported by the National Science Centre of Poland, Grant No. 2022/45/B/ST5/02120</p>
Active repair of a dinuclear photocatalyst for visible light-driven hydrogen production
<p>The peer-reviewed publication for this dataset has been published in <em>Nature Chemistry</em> and can be accessed <em>via</em> <strong><a href="https://doi.org/10.1038/s41557-021-00860-6"> DOI 10.1038/s41557-021-00860-6</a></strong>. Please cite this when using the data.</p>
Dataset for "Oxidase-type C-H/C-H coupling using an isoquinoline-derived organic photocatalyst"
<p>We have uploaded the corresponding raw and processed data for each figure from main text and supporting information. We also uploaded the raw data of NMR and HR-MS for characterization of the organic products.</p>
Characterization of N/TiO2 photocatalysts
<p>The files contain raw data and plots regarding the characterization by X-ray diffraction (XRD), Raman spectroscopy (RS), infrared spectroscopy (FTIR), diffuse reflectance spectroscopy (DRS), electron microscopy (SEM-EDS), and nitrogen adsorption/desorption isotherms of N/TiO2 photocatalyst.</p>
Report of microwave oven for synthesis of N/TiO2 photocatalysts
<p>This file contains reports created by the microwave oven during the synthesis of N/TiO2 photocatalysts, in which the temperature, inner pressure of the reaction vessel, and energy delivered by the equipment are controlled over time. </p>
Earth-abundant photocatalyst for H2 generation from NH3 with light-emitting diode illumination
<p>This repository contains supplementary data for "Earth-abundant photocatalyst for H2 generation from NH3 with light-emitting diode illumination". </p>
Datasets and Code: Revealing the Role of Redox Reaction Selectivity and Mass Transfer in Current–Voltage Predictions for Ensembles of Photocatalysts
<ul> <li>Raw datasets (.mat and .fig files) and codes (.mlx and .m files) used in our manuscript of the same title. </li> <li>Figure numbers correspond with the figure numbers in the corresponding manuscript. <ul> <li>Figure 4: Effects of kinetic parameters on Solar-to-chemical (STC) efficiencies and reaction selectivity</li> <li>Figure 5: Solar-to-chemical (STC) efficiencies for a model incorporating competing undesired redox reactions implemented for different redox shuttle pairs</li> <li>Figure 7: Solar-to-chemical efficiencies for an ensemble of light absorbers</li> <li>Figure 8: Maximum solar-to-chemical (STC) efficiencies and corresponding number of light absorbers as a function of asymmetry factors in limiting current density for redox shuttle reduction</li> <li>Figure 9: Solar-to-chemical efficiencies for an increasing number of light absorbers for different total absorptance values (99%, 75%, 50%).</li> <li>Figure 10: Qualitative comparisons between experimental measurements and model predictions for a photocatalytic suspension reactor</li> </ul> </li> <li>The main piece of the code developed is provided as an interactive .mlx file; not all subfunction calls within the main code is included, and can be shared upon reasonable request via email from the lead (luisab@umich.edu) and the corresponding authors (rbchan@umich.edu) of this paper. </li> </ul> <p> </p>
Data to our paper "Enhancing Photocatalysis: Understanding the Mechanistic Diversity in Photocatalysts Modified with Single-Atom Catalytic Sites"
<p>Data to our paper "Enhancing Photocatalysis: Understanding the Mechanistic Diversity in Photocatalysts Modified with Single-Atom Catalytic Sites"</p>
BenjaminSMoss/Sheets-main-data-csv: Photocatalyst Sheets Data NM19124170A
<p>Essential data in CSV format from our publication in Nature Materials (2020) entitled Linking in-situ charge accumulation to electronic structure in doped SrTiO3 reveals design principles for hydrogen evolving photocatalysts. by Benjamin Moss, Qian Wang, Keith T. Butler, Ricardo Grau-Crespo, Shababa Selim, Anna Regoutz , Takashi Hisatomi , Robert Godin, David J. Payne, Andreas Kafizas, Kazunari Domen, Ludmilla Steier* and James R. Durrant</p> <p>repository contains XPS data (shows raw EB folowed by EB after C 1s calibration to 284.8 eV. O 1s is provided with the VB data to faciliate core line separation analysis)</p> <p>DFT data (STO, Rh:STO and La,Rh:STO all have differnt VB minima due to the introduction of new states. Thus all have different 0K Ef positions DFT data was calibrated to the CB edge, the potential of which we calcualte to be unaffected by doping.)</p> <p>SEC data (was repeated twice with samples from two batches to make sure the effects observed was reproducable. For simplicity, only one set of SEC data is provided here. To get the sigmoidal plots shown normalise against 0 or -0.2 V RHE (i.e. divide everything else by the negative abs value at 590 nm at this potential))</p> <p>TAS and PIA data.</p>
Preparation and performance of Al3+-doped BiVO4 semiconductor photocatalysts
<p><span><span>The</span> <span>xAl<sup>3+</sup>/BiVO</span><sub><span><span>4</span></span></sub> <span>(x</span><span>=</span><span>0,</span> <span>1%,</span> <span>2%,</span> <span>5%,</span> <span>10%)</span> <span>semiconductor composite photocatalysts were successfully prepared by hydrothermal method</span><span>, and t</span><span>he removal efficiency of organic pollutants was improved in</span> <span>different degrees</span> <span>under the conditions of visible light irradiation.</span> <span>The results showed that proper Al</span><sup><span><span>3+</span></span></sup><span> doping could improve the morphology of BiVO</span><sub><span><span>4</span></span></sub><span>,</span><span> n</span><span>arrow</span> <span>the</span> <span>band gap and expand the absorption range of visible light.</span><span> M</span><span>eanwhile,</span> <span>Al</span><sup><span><span>3+</span></span></sup><span> acted </span><span>as</span><span> a </span><span>capture center </span><span>for</span><span> photogenerated</span> <span>electrons,</span> <span>reducing the</span> <span>recombination rate</span> <span>of</span> <span>the</span> <span>photogenerated</span> <span>electron-hole pair.</span> <span>When the doping amount of Al</span><sup><span><span>3+</span></span></sup> <span>was</span> <span>1%,</span><span> t</span><span>he photocatalytic activity</span><span> was </span><span>maximized,</span> <span>and the removal rate</span> <span>of RhB</span><span> with</span><span>in</span> <span>90min</span> <span>was as high as 96%</span><span>, t</span><span>his </span><span>was</span><span> an improvement of about 4</span><span>3</span><span>% compared</span> <span>to</span> <span>pure BiVO</span><sub><span><span>4</span></span></sub><span>.</span> <span>In the whole reaction system</span><span>, </span><span>e</span><sup><span><span>-</span></span></sup><span>, h</span><sup><span><span>+</span></span></sup><span> and </span><span>·</span><span>OH were the main active species</span><span>, </span><span>contributing 71.92%, 18.45% and 6.53% to the degradation of RhB, respectively.</span></span></p>
Data from: Facile fabrication of Mn2+ doped ZnO photocatalysts by electrospinning
In this study, we report a high efficiency photocatalyst synthesized by Mn2+ doped ZnO nanofibers (NFs) fabricated by facile electrospinning and a following annealing process, in which Mn2+ successes incorporate to ZnO NFs lattice without changing any morphology and crystalline structure of ZnO. The photodegradation properties were studied for ZnO doping with different concentrations of Mn2+ (5, 10, 15 and 50 at.%). The 50 % Mn2+-doped ZnO NFs owns excellent active photocatalytic performance (quantum efficiency up to 7.57 %) compared to pure ZnO (0.16 %) under visible light and can be considered as an efficient visible-light photocatalyst material. We systematically analyzed the catalytic mechanism and showed that the enhancement belongs to the Mn doping effect and the phase junction between MnO and ZnO. The dominant mechanism of Mn doping leads to the presence of impurity levels in the band gap of ZnO, narrowing the optical band gap of ZnO. In addition, doped Mn2+ ions can be used as electron traps that inhibit the recombination process and promote electron-hole pair separation. Overall, this paper provides a facile approach to fabricate a highly efficient visible-light photocatalyst using controlled annealing.
Heteroepitaxial MOF-on-MOF Photocatalyst for Solar-Driven Water Splitting
<p>Relevant data for publication with doi: 10.1021/acsnano.4c03442</p> <p> </p>
Data for Rapid microwave-assisted hydrothermal in situ synthesis of nano-ZnS/kaolinite nanocomposite: a non-toxic photocatalyst active under UV and sunlight
Open the record for dataset details and reuse information.
DFT optimised structures of Ru(II)-based photocatalysts
<p>DFT optimised xyz structures of a series of [(N,N)<sub>2</sub>Ru(tpphz)RhCp<sup>*</sup>Cl]<sup>n+/-</sup> complexes, where the (N,N) ligand is varied ((N,N)= tbbpy, prbim, prbimOMe2, dmabim, bim). The optimised geometries of the singlet electronic ground state (S0), the triplet metal-to-ligand charge transfer (3MLCT) to the bridging ligand and the triplet metal centred state on the Ru centre (3MC) are provided, as well as the linear interpolated geometries connecting the 3MLCT and 3MC states.</p>
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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)
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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.