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501 results for “Charging”
Boosting efficiency of eco-friendly perovskite solar cell through optimization of novel charge transport layers
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Data from: Pseudo-enantiomeric chiral components and formation of the helical micro- and nanostructures in charge-transfer complexes
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Popocatepetl ash charge as function of humidity and temperature
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Data on streamer initiation from charged hydrometeors
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Survey of customers' perception and adoption with the mandatory plastic bag charging in Japan
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Data from: Evaluating the influence of novel charge transport materials on the photovoltaic properties of MASnI3 solar cells
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SLABCC: Total energy correction code for charged periodic slab models
<p>Test set for SLABCC (SLAB Charge Correction) including the input files, input parameters and the expected output.<br> The geometries correspond to the positively charged Cl-vacancy on the surface of the NaCl slab with different vacuum thickness. The compiler type/compilation flags, linked libraries, and the hardware architecture may influence the optimization results but the effects on the correction energies should be negligible.</p> <p>The latest version of SLABCC can be downloaded from <a href="https://github.com/MFTabriz/slabcc">https://github.com/MFTabriz/slabcc</a></p> <p> </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>
Rethinking Pseudocapacitance: A Way to Harness Charge Storage of Crystalline RuO2
<p>Figure 1, Figure 2, Figure 3 and Figure 4</p>
IReL Survey Data: Article Processing Charges
<p>This is the raw data from a survey carried out from 16 October to 13 December 2019 and distributed to researchers, staff and students at the nine <a href="https://irel.ie/">IReL</a> member institutions: Dublin City University, Maynooth University, National University of Ireland Galway, Royal College of Surgeons in Ireland, Trinity College Dublin, Technological University Dublin, University College Cork, University College Dublin and University of Limerick.</p> <p>Responses were anonymised at point of capture and participants were informed that "Anonymised data will be incorporated into IReL reporting for future strategic planning and may also feed into future reporting and publications on IReL activities to illustrate issues and points."</p> <p>Records 1, 2, and 170 were removed by request, originating from institutional testing.</p> <p>The preprint analysis of this survey data is available at <a href="http://10.5281/zenodo.3891073">10.5281/zenodo.3891073</a>.</p>
Dataset From: Heteroaggregation between Charged and Neutral Particles
<p>The dataset for the publication "Heteroaggregation between Charged and Neutral Particles". DOI: 10.1021/acs.langmuir.0c00667.</p> <p>Files containing data have .dat extension and are in text format.</p>
NMR data for titration of various mutants in a highly charge depleted protein EXG:CBM
<p>Supporting Information for</p> <p><strong>Charge Interactions in a Highly Charge-depleted Protein</strong></p> <p>Stefan Hervø-Hansen<sup>a,b,1</sup>, Casper Højgaard<sup>a,1</sup>, Kristoffer Enøe Johansson<sup>a</sup>, Yong Wang<sup>a</sup>, Khadija Wahni<sup>c,d,e</sup>, David Young<sup>c,d,e,§</sup>, Joris Messens<sup>c,d,e</sup>, Kaare Teilum<sup>a</sup>, Kresten Lindorff-Larsen<sup>a**</sup>, and Jakob Rahr Winther<sup>a*</sup></p> <p><sup>a</sup>Linderstrøm-Lang Centre of Protein Science, Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark, <sup>b</sup>Division of Theoretical Chemistry, Department of Chemistry, Lund University, SE 221 00 Lund, Sweden, <sup>c</sup>VIB-VUB Center for Structural Biology, Vlaams Instituut voor Biotechnologie - Vrije Universiteit Brussel, B-1050 Brussels, Belgium, <sup>d</sup>Brussels Center for Redox Biology, Vrije Universiteit Brussel, B-1050 Brussels, Belgium, <sup>e</sup>Structural Biology Brussels, Vrije Universiteit Brussel, B-1050 Brussels, Belgium</p> <p><sup>*</sup>To whom correspondence may be addressed <a href="mailto:jrwinther@bio.ku.dk">jrwinther@bio.ku.dk</a></p> <p><sup>**</sup>Co-corresponding author, <a href="mailto:lindorff@bio.ku.dk">lindorff@bio.ku.dk</a></p> <p><sup>1 </sup>These authors contributed equally to this work.</p> <p> </p> <p>Preprint available on BioRXiv</p>
Data for article "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution"
<p>Data presented in the publication "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution", published in the Journal of the American Chemical Society. The published article is available at <a href="https://doi.org/10.1021/jacs.0c06104">https://doi.org/10.1021/jacs.0c06104</a></p>
Singapore bus charging profiles for different bus line electrification levels
<p>This data set contains the power demand profiles of bus charging stations in Singapore for six different scenarios, where the percentage of bus lines that are fully electrified varies from 30% to 100%.</p> <p>The power demand curves for each charging station were generated using the City Mobility Simulator (CityMoS), an agent-based, discrete-event, traffic simulation platform under development by research teams at TUMCREATE. This platform is able to simulate sub-microscopic traffic with high performance on large-scale road networks. A CityMoS extension models the operation and charging behavior of a fleet of public electric buses.</p> <p>The file is a python pickle file that can be opened in python by the following commands:</p> <p>import pickle<br> Powerprofile = pickle.load(open('Input/PowerProfile','rb'))</p>
Covalent Triazine Frameworks Incorporating Charged Polypyrrole Channels for High-Performance Lithium–Sulfur Batteries
<p>Organosulfur polymers have emerged as promising electrode materials for lithium–sulfur (Li–S) batteries, mainly because of their ability to incorporate and stabilize high sulfur content. The low ionic and electronic conductivity of these polymers, however, limit their cycling performance at high active mass loadings. Moreover, Li–polysulfide (Li–PS) shuttling, a fatal phenomenon in the cyclability of Li–S batteries, can be mitigated <em>via</em> the entrapment of Li–PS by utilizing various supramolecular interactions. Herein, we report a new approach that incorporates one-dimensional charged polypyrrole into a two-dimensional covalent triazine framework (cPpy-S-CTF) synthesized in the presence of elemental sulfur. The cPpy-S-CTF enabled sulfur loadings up to 83 wt %, thanks to the perfluoroaryl-elemental sulfur SN<sub>Ar</sub> chemistry. Notably, the addition of charged polypyrrole, cPpy, triggered a 3D nanochannel formation in the cPpy-S-CTF with high-affinity anchoring sites toward Li–PS, while achieving decent ionic and electronic conductivity. The cPpy-S-CTF showed a remarkable electrochemical performance with a specific capacity of 1203.4 mA h g<sup>–1</sup> at 0.05 C, an initial Coulombic efficiency of 94.1%, and a capacity retention of 86.8% after 500 cycles. These results point to the fact that the incorporation of charged conducting polymers could be a universal strategy to boost the electrochemical performance of organosulfur polymers in Li–S batteries.</p>
Raw Data: Charged particle guiding and beam splitting with auto-ponderomotive potentials on a chip
<p>Detector images</p>
Data from: Spiders spinning electrically charged nano-fibres
Most spider threads are on the micrometre and sub-micrometre scale. Yet, there are some spiders that spin true nano-scale fibres such as the cribellate orb spider, Uloborus plumipes. Here, we analyse the highly specialized capture silk-spinning system of this spider and compare it with the silk extrusion systems of the more standard spider dragline threads. The cribellar silk extrusion system consists of tiny, morphologically basic glands each terminating through exceptionally long and narrow ducts in uniquely shaped silk outlets. Depending on spider size, hundreds to thousands of these outlet spigots cover the cribellum, a phylogenetically ancient spinning plate. We present details on the unique functional design of the cribellate gland–duct–spigot system and discuss design requirements for its specialist fibrils. The spinning of fibres on the nano-scale seems to have been facilitated by the evolution of a highly specialist way of direct spinning, which differs from the aqua-melt silk extrusion set-up more typical for other spiders.
Data from: Electron correlation in Li+, He, H− and the critical nuclear charge system ZC: energies, densities and Coulomb holes
This paper presents high accuracy correlation energies, intracule densities and Coulomb hole(s) for the lithium cation, helium, hydride ion and the system with the critical nuclear charge, Z_C, for binding two electrons. The fully-correlated (FC) wavefunction and the Hartree-Fock (HF) wavefunction are both determined using a Laguerre-based wavefunction. It is found that for the lithium cation and the helium atom a secondary Coulomb hole is present, in agreement with a previous literature finding, confirming a counter-intuitive conclusion that electron correlation can act to bring distant electrons closer together. However, no evidence for a tertiary Coulomb hole is found. For the hydride anion and the system just prior to electron detachment only a single Coulomb hole is present and electron correlation decreases the probability of finding the electrons closer together at all radial distances. The emergence of a secondary Coulomb hole is investigated and found to occur between Z = Z = 1.15 and Z = 1.20. The FC and HF energies and intracule densities (in atomic units) used to calculate the correlation energy and Coulomb hole respectively, are accurate to at least the nano-scale for helium and the cation and at least the micro-scale for the anions.
Dynamic Charge Distribution as a Key Driver of Catalytic Reactivity in an Artificial Metalloenzyme
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Unconventional charge-density-wave gap in monolayer NbS2
<p>This repository contains the data and source code associated with the paper: *Unconventional charge-density-wave gap in monolayer NbS₂*.</p><p>Experimental setup</p><p>STM and STS were carried out at a base operating temperature of T₀ = 0.4 K after in-situ transfer from the preparation chamber. STS was performed with the lock-in technique. STM images were taken in constant current mode.</p><p>Computational setup</p><p>All DFT and DFPT calculations were performed using Quantum ESPRESSO 7.1.</p><p>Further information in the README file.</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)
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.