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338 results for “graphene”
Dataset of "Asparagine-Modified Magnetic Graphene Oxide: An Efficient and Green Nanocatalyst for Synthesis of 5-oxodihydropyrano[3,2-c]chromenes and dihydropyrano[2,3- c]pyrazole derivatives and the Density functional theory calculation".
<p>The primary focus of this study involved the fabrication of a novel nanocatalyst Fe3O4-supported asparagine functionalized graphene oxide (Fe3O4@GO-N-(Asparagine)). The catalyst was synthesized through a four-step procedure.</p>
Experimental data for Quantum noise limited microwave amplification using a graphene Josephson junction
<p>This dataset was used in our study of "Quantum noise limited microwave amplification using a graphene Josephson junction".</p>
Data underlying the paper titled "Positron unveiling high mobility graphene stack interfaces in Li-ion cathodes"
<p>The folder includes data regarding 4 figures shown in this paper. </p> <p>FIG_1: Simulation structure of 6 layers of graphene bulk and slab (6C_Bulk.vasp, 6C_Slab.vasp), LiCoO2(LCO_336.vasp), ABA Graphite coating LiCoO2(G@LCO.vasp). </p> <p>FIG_2: Raw data of band structure of Graphite coating LCO (Band_G@LCO_EIGENVAL), Density of States (DOS_G@LCO_DOSCAR)</p> <p>FIG_3: Calculated plane-averaged charge density difference of SW-G@LCO perpendicular to (001) plane at the equilibrium distance. G@LCO_CHGCAR, LCO_CHGCAR, C_CHGCAR are the CHGCAR for Graphitte coating LCO, LCO, graphite, respectively. </p> <p>d24_diff.vasp is the charge difference</p> <p>d24_PACD.dat is the plane-averaged charge density difference. </p> <p>FIG_4: posden indicates the positron density, while posvtot means positron potential. Data are named by their structure. </p>
Dataset of Scanning Tunneling Microscopy (STM) images of graphene on nickel
<p>STM images presented in the dataset were recorded by the STRAS research group using a Omicron Variable Temperature STM (VT-STM) microscope, in the TASC laboratory of the CNR-IOM in Trieste.</p> <p> </p>
Gate tunability of highly efficient spin-to-charge conversion by spin Hall effect in graphene proximitized with WSe2
<p>Data associated with "Gate tunability of highly efficient spin-to-charge conversion by spin Hall effect in graphene proximitized with WSe<sub>2</sub>" </p> <p>Publication: <a href="https://arxiv.org/abs/2006.09227">https://arxiv.org/abs/2006.09227</a> and <a href="https://aip.scitation.org/doi/10.1063/5.0006101">https://aip.scitation.org/doi/10.1063/5.0006101</a></p> <p><br> </p>
The top performer: towards optimized parameters for Reduced graphene oxide uniformity by Spin coating
<p>This dataset contains the raw data used for the publication:</p> <p>-------------------------------------------------------------------------------------------------------------------------------------------------------<br> "The top performer: towards optimized parameters for Reduced graphene oxide uniformity by Spin coating"<br> by C. Reiner-Rozman, R. Hasler, J. Andersson, T. Rodrigues, A. Bozdogan and P. Aspermair<br> --------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p><br> It consists of the SEM images (in .tif format) and the determined surface coverages (in .dat format) as well as the measured electrical data (in .dat format) of the prepared graphene field-effect transistor chips. Headers/information in the data files are in English. When using this data in any form please refer to the above-mentioned publication.</p> <p>The data is structured according to the figures of the paper. Each folder contains the data relevant to validate the results presented in the respective figure of the publication. The files are labeled according to the following description:</p> <p>"measurement-type"_"chip-number"_"GO-concentration"_"spin-coating speed"</p> <p>"measurement-type": SEM, IDVG, baseline<br> "chip-number": an increasing number of fabricated device (only used when needed)<br> "GO-concentration": 143/214/285 µg/mL of graphene oxide (GO) in solution<br> "spin-coating speed": in rpm</p>
Magnetism of Topological Boundary States Induced by Boron Substitution in Graphene Nanoribbons
<p>OPEN DATA related to the research publication:</p> <p>Niklas Friedrich, Pedro Brandimarte, Jingcheng Li, Shohei Saito, Shigehiro Yamaguchi, Iago Pozo, Diego Peña, Thomas Frederiksen, Aran Garcia-Lekue, Daniel Sánchez-Portal, and José Ignacio Pascual, <em>Magnetism of Topological Boundary States Induced by Boron Substitution in Graphene Nanoribbons</em>, Phys. Rev. Lett. <strong>125</strong>, 146801 (2020) [arXiv:2004.10280]</p> <p>Abstract: Graphene nanoribbons (GNRs), low-dimensional platforms for carbon-based electronics, show the promising perspective to also incorporate spin polarization in their conjugated electron system. However, magnetism in GNRs is generally associated with localized states around zigzag edges, difficult to fabricate and with high reactivity. Here we demonstrate that magnetism can also be induced away from physical GNR zigzag edges through atomically precise engineering topological defects in its interior. A pair of substitutional boron atoms inserted in the carbon backbone breaks the conjugation of their topological bands and builds two spin-polarized boundary states around them. The spin state was detected in electrical transport measurements through boron-substituted GNRs suspended between the tip and the sample of a scanning tunneling microscope. First-principle simulations find that boron pairs induce a spin 1, which is modified by tuning the spacing between pairs. Our results demonstrate a route to embed spin chains in GNRs, turning them into basic elements of spintronic devices.</p>
Crossed graphene nanoribbons as beam splitters and mirrors for electron quantum optics
<p>OPEN DATA related to the research publication:</p> <p>S. Sanz, P. Brandimarte, G. Giedke, D. Sánchez-Portal, and T. Frederiksen, <em>Crossed graphene nanoribbons as beam splitters and mirrors for electron quantum optics</em>, Phys. Rev. B <strong>102</strong>, 035436 (2020) [arXiv:2005.11391]</p> <p>Abstract: We analyze theoretically 4-terminal electronic devices composed of two crossed graphene nanoribbons (GNRs) and show that they can function as beam splitters or mirrors. These features are identified for electrons in the low-energy region where a single valence or conduction band is present. Our modeling is based on <em>pz</em> orbital tight-binding with Slater-Koster type matrix elements fitted to accurately reproduce the low-energy bands from density functional theory calculations. We analyze systematically all devices that can be constructed with either zigzag or armchair GNRs in AA and AB stackings. From Green's function theory the elastic electron transport properties are quantified as a function of the ribbon width. We find that devices composed of relatively narrow zigzag GNRs and AA-stacked armchair GNRs are the most interesting candidates to realize electron beam splitters with a close to 50-50 ratio in the two outgoing terminals. Structures with wider ribbons instead provide electron mirrors, where the electron wave is mostly transferred into the outgoing terminal of the other ribbon, or electron filters where the scattering depends sensitively on the wavelength of the propagating electron. We also test the robustness of these transport properties against variations in intersection angle, stacking pattern, lattice deformation (uniaxial strain), inter-GNR separation, and electrostatic potential differences between the layers. These generic features show that GNRs are interesting basic components to construct electronic quantum optical setups.</p>
Uncovering the Triplet Ground State of Triangular Graphene Nanoflakes Engineered with Atomic Precision on a Metal Surface
<p>OPEN DATA related to the research publication:</p> <p>J. Li, S. Sanz, J. Castro-Esteban, M. Vilas-Varela, N. Friedrich, T. Frederiksen, D. Peña, and J. I. Pascual, <em>Uncovering the triplet ground state of triangular graphene nanoflakes engineered with atomic precision on a metal surface</em>, Phys. Rev. Lett. <strong>124</strong>, 177201 (2020) [arXiv:1912.08298]</p> <p>Abstract: Graphene can develop large magnetic moments in custom-crafted open-shell nanostructures such as triangulene, a triangular piece of graphene with zigzag edges. Current methods of engineering graphene nanosystems on surfaces succeeded in producing atomically precise open-shell structures, but demonstration of their net spin remains elusive to date. Here, we fabricate triangulenelike graphene systems and demonstrate that they possess a spin S=1 ground state. Scanning tunneling spectroscopy identifies the fingerprint of an underscreened S=1 Kondo state on these flakes at low temperatures, signaling the dominant ferromagnetic interactions between two spins. Combined with simulations based on the meanfield Hubbard model, we show that this S=1 π paramagnetism is robust and can be turned into an S=1/2 state by additional H atoms attached to the radical sites. Our results demonstrate that π paramagnetism of high-spin graphene flakes can survive on surfaces, opening the door to study the quantum behavior of interacting π spins in graphene systems.</p>
Supplementary files for "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction"
<p>DFT optimised structures used for the paper "A comparison of single and double Co sites incorporated in N-doped graphene for the oxygen reduction reaction". There is a separate database for structures on the Co-N4 single site, each of the Co double sites and the molecular references. Manual and NEB paths for the splitting of OOH and O2 are included as separate databases. The structures can be retrieved using the Atomic Simulation Environment (ASE, https://wiki.fysik.dtu.dk/ase/).</p>
Effective de-icing skin using graphene-based flexible heater
<p>dataset on </p> <p>Dynamic Mechanical Analysis, Electro-Mechanical Measurement, Dynamic Light Scattering</p> <p>FTIR spectroscopy, Thermogravimetric analysis, Differential Scanning Calorimetry,</p> <p>Electro-Temperature Measurement, Thermal Image Camera, Water sorption measurement,</p> <p>Transmission Electron Microscopy and Stress Strain</p>
The potential of graphene oxide surfaces to reduce biofilms formed by uropathogens
<p>Polydimethylsiloxane (PDMS), 5 wt.% GNP/PDMS (GNP/PDMS), 1 wt.% graphene oxide (GO)/PDMS (GO1/PDMS), 3 wt.% GO/PDMS (GO3/PDMS), 5 wt.% GO/PDMS (GO5/PDMS)) were analyzed regarding hydrophobicity and roughness. Staphylococcus aureus and Pseudomonas aeruginosa biofilms were developed on these different surfaces under static conditions for 24h at 37°C. The number of biofilm total and culturable cells was quantified by flow cytometry and plate counts, respectively, whereas the biofilm amount was determined by crystal violet staining. Moreover, the mechanisms of action of GO were characterized using the flow cytometer.</p>
The impact of graphene composite surfaces in the architecture of cyanobacterial biofilms
<p>Glass, epoxy resin and graphene nanoplatelet (GNP) composite were analyzed regarding wettability and roughness. Cyanobacterial biofilms from Lusitaniella coriacea LEGE 07157 were developed on these surfaces for seven weeks and under controlled hydrodynamic conditions. Biofilm wet weight, structural parameters (biofilm thickness, empty spaces, and average size of empty spaces) obtained from Optical Coherence Tomography (OCT), and biovolume and surface coverage obtained by Confocal Laser Scanning Microscopy (CLSM) were analyzed.</p>
Dataset for "ZnO decorated Graphene-based NFC tag for personal NO2 exposure monitoring during a workday"
<p>Dataset with all measurements performed and related to the publication "ZnO decorated Graphene-based NFC tag for personal NO2 exposure<br>monitoring during a workday" Published in Sensors MDPI 2024 by A. Santos and co-workers.</p>
Magnetic interactions between radical pairs in chiral graphene nanoribbons
<p>OPEN DATA related to the research publication:</p> <p>T. Wang, S. Sanz, J. Castro-Esteban, J. Lawrence, A. Berdonces-Layunta, M. S. G. Mohammed, M. Vilas-Varela, M. Corso, D. Peña, T. Frederiksen, and D. G. de Oteyza<br> <em>Magnetic interactions between radical pairs in chiral graphene nanoribbons</em><br> Nano Lett. <strong>22</strong>, 164-171 (2022) [arXiv:2108.13473]</p> <p>Abstract: Open-shell graphene nanoribbons have become promising candidates for future applications, including quantum technologies. Here, we characterize magnetic states hosted by chiral graphene nanoribbons (chGNRs). The substitution of a hydrogen atom at the chGNR edge by a ketone effectively adds one p<sub>z</sub> electron to the π-electron network, producing an unpaired π-radical. A similar scenario occurs for regular ketone-functionalized chGNRs in which one ketone is missing. Two such radical states can interact via exchange coupling, and we study those interactions as a function of their relative position, which includes a remarkable dependence on the chirality, as well as on the nature of the surrounding ribbon, that is, with or without ketone functionalization. Besides, we determine the parameters whereby this type of system with oxygen heteroatoms can be adequately described within the widely used mean-field Hubbard model. Altogether, we provide insight to both theoretically model and devise GNR-based nanostructures with tunable magnetic properties.</p>
Prospective dynamic and probabilistic material flow analysis of graphene-based materials in Europe from 2004 to 2030
<p>This dataset is related to the following publication:</p> <p>Title: Prospective dynamic and probabilistic material flow analysis of graphene-based materials in Europe from 2004 to 2030</p> <p>Authors: Hyunjoo Hong, Florian Part, Bernd Nowack </p> <p>Submitted to the journal Environmental Science & Technology in June 2022.</p> <p>The files contain an input file and final codes and raw results of the DMFA model for graphene-based materials.</p>
Experimental data of "Mesoscopic Klein-Schwinger effect in graphene"
<p>Current-to-voltage characteristics of the devices studied in the main and supplementary text of the article "Mesoscopic Klein-Schwinger effect in graphene" by A. Schmitt et al. Dimensions of devices are provided in the article</p>
Tensile Properties of Flax Fibre Bundles with Graphene Oxide Coating
<p>In the current datasheet, authors report the effect of graphene oxide treatment on tensile behaviour of single flax fibre bundles. As graphene oxide is hydrophilic with many hydroxyl functional groups, it is expected to bond with technical fibres and increase the stress transfer in a flax yarn.</p> <p> Graphene oxide (GO) aqueous dispersion with 1.2 wt % is prepared based on the modified Hummer’s method. GO is physically adsorbed on fibres by immersion of flax yarns into the aqueous dispersion for 24 hr. Fibres are dried at 80 C for 2 hr followed by 48 hr at 60 C. To differentiate between the effect of GO treatment and the potential loss in the tensile strength and tensile stiffness of fibres, authors report the data in 4 subclasses:</p> <ul> <li>As received flax yarns (dried at 60 C for 48 hr): labelled ‘as received’</li> <li>Kept in deionised water for 30 min: tagged ’30 min’</li> <li>Placed in deionised water for 24 hr: marked ’24 hr’</li> <li>Flax fibres immersed in 1.2 wt % GO aqueous dispersion for 24 hr: labelled ‘GO’</li> </ul> <p>Tensile test of single natural fibres is a challenging measurement. This is mainly due to the hierarchical and nonhomogenous structure of single fibres and difficulty in their extraction. The test methods are not standard, and the final data is very scattered. As an alternative method, we report the tensile properties of flax fibre bundles based on the impregnated fibre bundle test (IFBT) [1].</p> <p>Materials and brief description of the methodology can be found in the datasheet under ‘method’ tab. Flax fibre bundles were extracted from AmpliTex 5009 flax fabrics kindly provided by Bcomp. The matrix was Epikote 828 LVEL epoxy resin with Dytek DCH-99 hardener.</p> <p>Impregnated fibre bundle tests were performed with Instron 5567 and 30 kN loadcell, with 120 mm gauge length and 4% min <sup>-1</sup> strain rate. The strain was measured by a 50 mm clip-on extensometer. The abrasive paper was placed without glue in between the testing clamps and the samples. All samples were stored one week before test in a controlled environment of RH 50 % and 25 C.</p> <p>In the current datasheet, authors report the effect of graphene oxide treatment on tensile behaviour of single flax fibre bundles. As graphene oxide is hydrophilic with many hydroxyl functional groups, it is expected to bond with technical fibres and increase the stress transfer in a flax yarn.</p> <p> Graphene oxide (GO) aqueous dispersion with 1.2 wt % is prepared based on the modified Hummer’s method. GO is physically adsorbed on fibres by immersion of flax yarns into the aqueous dispersion for 24 hr. Fibres are dried at 80 C for 2 hr followed by 48 hr at 60 C. To differentiate between the effect of GO treatment and the potential loss in the tensile strength and tensile stiffness of fibres, authors report the data in 4 subclasses:</p> <ul> <li>As received flax yarns (dried at 60 C for 48 hr): labelled ‘as received’</li> <li>Kept in deionised water for 30 min: tagged ’30 min’</li> <li>Placed in deionised water for 24 hr: marked ’24 hr’</li> <li>Flax fibres immersed in 1.2 wt % GO aqueous dispersion for 24 hr: labelled ‘GO’</li> </ul> <p>Tensile test of single natural fibres is a challenging measurement. This is mainly due to the hierarchical and nonhomogenous structure of single fibres and difficulty in their extraction. The test methods are not standard, and the final data is very scattered. As an alternative method, we report the tensile properties of flax fibre bundles based on the impregnated fibre bundle test (IFBT) [1].</p> <p>Materials and brief description of the methodology can be found in the datasheet under ‘method’ tab. Flax fibre bundles were extracted from AmpliTex 5009 flax fabrics kindly provided by Bcomp. The matrix was Epikote 828 LVEL epoxy resin with Dytek DCH-99 hardener.</p> <p>Impregnated fibre bundle tests were performed with Instron 5567 and 30 kN loadcell, with 120 mm gauge length and 4% min <sup>-1</sup> strain rate. The strain was measured by a 50 mm clip-on extensometer. The abrasive paper was placed without glue in between the testing clamps and the samples. All samples were stored one week before test in a controlled environment of RH 50 % and 25 C.</p>
Supporting data for "Dispersive sensing of charge states in a bilayer graphene quantum dot"
<p>Supporting data and analysis scripts for all figures in the article "Dispersive sensing of charge states in a bilayer graphene quantum dot", Appl. Phys. Lett. <strong>118</strong>, 093104 (2021); <a href="https://doi.org/10.1063/5.0040234">https://doi.org/10.1063/5.0040234</a></p> <p>The files are sorted according to the figures/panels in the publication with a "0-README.txt" file including further information. </p> <p>The following versions of Pyhton and the packages have been used:<br> python: 3.6.10<br> numpy: 1.18.1<br> matplotlib: 3.1.3<br> scipy: 1.4.1</p>
Experimental data of "High-field 1/f noise in hBN-encapsulated graphene transistors"
<p>Current-to-voltage characteristics along with flicker noise amplitude (A factor, description given in the paper) of the devices studied in the main and supplementary text of the article " by A. Schmitt et al. Dimensions of devices are provided in the article</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.