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18 results for “surface charge”
Data related to the article "A molecular perspective on induced charges on a metallic surface"
<p>Contains input files and data used to generate the figures of the article:</p> <p>A molecular perspective on induced charges on a metallic surface<br> (Giovanni Pireddu, Laura Scalfi, and Benjamin Rotenberg)</p> <p>arXiv: <a href="https://arxiv.org/abs/2110.11103">https://arxiv.org/abs/2110.11103</a></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.</p> <p>The data files are named according to the ion distance considered:<br> - 'd1' corresponds to 1.50 Å;<br> - 'd2' corresponds to 3.14 Å;<br> - 'd3' corresponds to 5.40 Å;<br> - 'd4' corresponds to 7.03 Å;<br> - 'd5' corresponds to 15.00 Å.</p> <p>The data files are reported in three formats:<br> - induced charge density maps are in matrix format (arranged in several rows with each value corresponding to the values on the map).</p> <p> The coordinates of each point on the map are stored in the first row and first column.<br> - Solvent charge density maps are arranged in columns: (i) x coordinate, (ii) y coordinate, (iii) solvent charge density.<br> - Radial profiles are arranged in columns: (i) r, (ii) charge density, (iii) radial integral.</p>
Dataset From: Structural and double layer forces between silica surfaces in suspensions of negatively charged nanoparticles
<p>The dataset for the publication "Structural and double layer forces between silica surfaces in suspensions of negatively charged nanoparticles". DOI: 10.1021/acs.langmuir.0c02917.</p> <p>Files containing data have .dat extension and are in text format</p>
Metadata of "Effect of chemical substitution on the surface charge of the photosynthetic Reaction Center from Rhodobactersphaeroides: an in-silico investigation"
<p>Metadata of "Effect of chemical substitution on the surface charge of the photosynthetic Reaction Center from Rhodobactersphaeroides: an in-silico investigation"</p>
Data used in article 'Tuning Charge Carrier Dynamics and Surface Passivation in Organolead Halide Perovskites with Capping Ligands and Metal Oxide Interfaces'
<p>Data underlying the article 'Tuning Charge Carrier Dynamics and Surface Passivation in Organolead Halide Perovskites with Capping Ligands and Metal Oxide Interfaces' published in Advanced Optical Materials.</p>
Data Supplement for "Impact of Charged Surfaces on the Structure and Dynamics of Polymer Electrolytes: Insights from Atomistic Simulations"
<p>Data set containing the molecular dynamics simulation data used for the journal article "Impact of Charged Surfaces on the Structure and Dynamics of Polymer Electrolytes: Insights from Atomistic Simulations" (<span>Andreas Thum, </span><span>Diddo Diddens, </span><span>Andreas Heuer, </span><em>J. Phys. Chem. C</em> <strong>2021</strong>, <em>125</em>, 25392−25403, <a href="https://doi.org/10.1021/acs.jpcc.1c07751">https://doi.org/10.1021/acs.jpcc.1c07751</a>).</p>
BeMAGIC_Nanoporous films and ultra-thin films for magnetoionics and surface charging experiments
<p>BeMAGIC ITN (GA861145)_Nanoporous films and ultra-thin films for magnetoionics and surface charging experiments. Results from UAB, IFW, TUC, KIT, SPIN-ION, TTS</p>
BeMAGIC_Nanoporous films and ultra-thin films for magneto-ionics and surface charging experiments
<p>BeMAGIC ITN (GA861145) Nanoporous films and ultra-thin films for magneto-ionics and surface charging experiments. Results from TUC, UCAM, AALTO and KIT</p>
Surface Charge Boundary Condition Often Misused in CO2 Reduction Models (raw data for graphs)
<p>This contains the raw data, in text file format, for the figures in the journal article "Surface Charge Boundary Condition Often Misused in CO2 Reduction Models" published in Journal of Physical Chemistry C, DOI 10.1021/acs.jpcc.3c05364.</p> <p>The files are in directories corresponding to their figure number, and the files are named with the capacitance. </p> <p> </p> <p> </p>
Monovalent ion-mediated charge-charge interactions drive aggregation of surface-functionalized gold nanoparticles
<p>Dataset containing files required to run the simulations in "Monovalent ion-mediated charge-charge interactions drive aggregation of surface-functionalized gold nanoparticles"</p>
Numerical Simulations on Unconventional Surface Charging within Deep Cavities in the Solar Wind Plasma.
<p>Numerical simulation data presented in Nakazono and Miyake (2022): Unconventional Surface Charging within Deep Cavities in the Solar Wind Plasma. The format of the dataset is described in the PDF document (2022JA_supporting_information.pdf).</p>
Protein with negative surface charge distribution, Bnr1, shows characteristics of a DNA-mimic protein and may be involved in the adaptation of Burkholderia cenocepacia
<p><strong>Supplementary tables for the publication: 'Protein with negative surface charge distribution, Bnr1, shows characteristics of a DNA-mimic protein and may be involved in the adaptation of <em>Burkholderia cenocepacia</em></strong></p> <p>Table S4: All proteins showing altered abundance by > 1.5 fold in the ∆BCAS0292 mutant strain relative to the K56-2 wild type strain in all biological replicates. </p> <p>Table S5: Comparison of the lxa-encoded proteins that showed reduced abundance in the ∆BCAS0292 mutant strain relative to the K56-2 strain and which previously showed increased expression in clincal chronic infetion</p> <p>Table S6: Comparison of all proteins that showed reduced abundance in the ∆BCAS0292 strain relative to the K56-2 wild type strain and previously showed increased abundance in late relative to early B. cenocepacia</p> <p>Table S7: Immunoprecipitation analysis raw proteome data. </p>
Improved boundary conditions for coupled geospace models: an application in modeling spacecraft surface charging environment
<p>These are simulation results from running the RAM-SCB model coupled with the BATS-R-US model via the Space Weather Modeling Framework (SWMF). Two simulations are conducted. One named as "Simulation I" contains simulation outputs from using the traditional outer boundary conditions for the RAM-SCB (i.e., assuming a Kappa distribution with MHD parameters obtained from the BATS-R-US model). The other one named as "Simulation II" contains simulation output from using the new outer boundary conditions for the RAM-SCB (i.e., combining the Denton's empirical electron flux distribution (E<40 keV) with the MHD-parameterized Kappa distribution). </p> <p>In "simulation_data.zip", three types of simulation results are included: </p> <ul> <li>"BC_simulation_?.zip": the outer boundary conditions of the electron flux at 6.5 Re at five different times (hour=6, 7, 10, 14, 19)</li> <li>"ram_e_d20130317_flux_simulation_?.zip": the differential electron flux in the equatorial plane within 6.5 Re during the March 17, 2013 event</li> <li>"RBSPB20130317.nc": the differential electron flux, and other parameters (ion flux, magnetic fields) along the RBSP-B trajectory.</li> </ul> <p>In "simulation20180410_alongRBSPa.zip", model results during the storm of 2018/04/10 are saved, including the differential electron flux and other parameters (ion flux, magnetic fields) along the RBSP-A trajectory. Both types of simulations are conducted.</p> <p>In "simulation20180826_alongRBSPa.zip", model results during the storm of 2018/08/25-26 are saved, including the differential electron flux, and other parameters (ion flux, magnetic fields) along the RBSP-A trajectory. Both type of simulations are conducted.</p>
NanoValid D.5.47 Annex 2: Inter-laboratory comparison on measurand Surface Charge (Zeta Potential) of 15 nm Lys-SNPs-B1 Silica Nanoparticles Particles
<p>An inter-laboratory comparison on the surface charge, expressed as zeta potential <em>ζ</em>, of nanoscaled SiO<sub>2</sub> has been performed using #14 BAM ~15 nm Lys-SNPs-B1 Silica nanoparticles (see D.5.41/5.42). The comparability of results delivered by participants has been tested.</p> <p>The Task 5.4 of NanoValid is designed to test, compare and validate current methods to measure and characterize physicochemical properties of selected engineered nanoparticles. The measurand is <em>Surface charge expressed as zeta-Potential</em>. The measurements are to be accompanied by estimates of the uncertainties at a confidence level of 95%, deduced from the standard uncertainties. Therefore an uncertainty budget comprising statistical (Type A) and systematic (Type B) errors has to be established and delivered for the measurand.</p>
Probing surface charge densities on optical fibers with a trapped ion
<p>We describe a novel method to measure the surface charge densities on optical fibers placed in the vicinity of a trapped ion, where the ion itself acts as the probe. Surface charges distort the trapping potential, and when the fibers are displaced, the ion’s equilibrium position and secular motional frequencies are altered. We measure the latter quantities for different positions of the fibers and compare these measurements to simulations in which unknown charge densities on the fibers are adjustable parameters. Values ranging from −10 to +50 e/µm2 were determined. Our results will benefit the design and simulation of miniaturized experimental systems combining ion traps and integrated optics, for example, in the fields of quantum computation, communication and metrology. Furthermore, our method can be applied to any setup in which a dielectric element can be displaced relative to a trapped charge-sensitive particle.</p>
Simulation Results on Size-Dependent Surface Charging of Lunar Cavities Exposed to the Solar Wind
<p>Here we present the numerical simulation data from Nakazono and Miyake (2025), titled "Size-Dependent Surface Charging of Lunar Cavities Exposed to the Solar Wind."</p>
Flow upregulates glycocalyx-related genes and makes surface charge more negative of a human blood-brain barrier co-culture model in an organ-on-a-chip device
GEO Series GSE155671. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths and Salt Concentrations Confined Between Charged Electrodes With Various Surface Charges: Plots
<p>Plots of the data contained in the data sets</p> <ul> <li>Uncharged electrodes: <ul> <li><a href="https://doi.org/10.5281/zenodo.13164944">https://doi.org/10.5281/zenodo.13164944</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13165450">https://doi.org/10.5281/zenodo.13165450</a>:<br>Molecular Dynamics Simulations of Monoglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13165725">https://doi.org/10.5281/zenodo.13165725</a>:<br>Molecular Dynamics Simulations of Tetraglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> <li><a href="https://doi.org/10.5281/zenodo.13166024">https://doi.org/10.5281/zenodo.13166024</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Salt Concentrations Confined Between Uncharged Electrodes</li> </ul> </li> <li>Charged electrodes: <ul> <li><a href="https://doi.org/10.5281/zenodo.13166152">https://doi.org/10.5281/zenodo.13166152</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167128">https://doi.org/10.5281/zenodo.13167128</a>:<br>Molecular Dynamics Simulations of Monoglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167338">https://doi.org/10.5281/zenodo.13167338</a>:<br>Molecular Dynamics Simulations of Tetraglyme-LiTFSI Liquid Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167551">https://doi.org/10.5281/zenodo.13167551</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Salt Concentrations Confined Between Charged Electrodes (+/- 1.00 e/nm²)</li> <li><a href="https://doi.org/10.5281/zenodo.13167614">https://doi.org/10.5281/zenodo.13167614</a>:<br>Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes With Various Surface Charges</li> </ul> </li> </ul>
Molecular Dynamics Simulations of PEO-LiTFSI Polymer Electrolytes With Various Chain Lengths Confined Between Charged Electrodes With Various Surface Charges
<p>Data set containing molecular dynamics (MD) simulations performed with <a href="https://www.gromacs.org/">Gromacs</a> to investigate the effect of polymer chain length and electrode surface charge on the atomistic structure and dynamics of PEO-LiTFSI polymer electrolytes in the vicinity of charged, graphite-like model electrodes. The model electrodes carry a surface charge of +/- 0.25 e/nm², +/- 0.50 e/nm² and +/- 0.75 e/nm². Data for surface charges of +/- 0.00 e/nm² and +/- 1.00 e/nm² are contained in <a href="https://doi.org/10.5281/zenodo.13164944">https://doi.org/10.5281/zenodo.13164944</a> and <a href="https://doi.org/10.5281/zenodo.13166152">https://doi.org/10.5281/zenodo.13166152</a>, respectively.</p> <p>PEO = Methoxy-terminated poly(ethylene oxide), sometimes also abbreviated as PEGDME for polyethylene glycol dimethyl ether<br>LiTFSI = Lithium bis(trifluoromethanesulfonyl)imide, sometimes also abbreviated as Li[NTf2].</p> <p>The data set contains:</p> <ul> <li>Gromacs input and output files (except trajectories due to their huge filesize)</li> <li>Processed data</li> </ul>
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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.