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338 results for “graphene”
Data from: Influence of the properties of different graphene-based nanomaterials dispersed in polycaprolactone membranes on astrocytic differentiation
<p><strong>Abstract</strong></p> <p>Composites of polymer and graphene-based nanomaterials (GBNs) combine easy processing onto porous 3D membrane geometries due to the polymer and cellular differentiation stimuli due to GBNs fillers. Aimingto step forward to the clinical application of polymer/GBNs composites, this study performs a systematic and detailed comparative analysis of the influence of the properties of four different GBNs: i) graphene oxide obtained from graphite chemically processes (GO); ii) reduced graphene oxide (rGO); iii) multilayered graphene produced by mechanical exfoliation method (G<sub>mec</sub>); and iv) low-oxidized graphene via anodic exfoliation (G<sub>anodic</sub>); dispersed in polycaprolactone (PCL) porous membranes to induce astrocytic differentiation. PCL/GBN flat membranes were fabricated by phase inversion technique and broadly characterized in morphology and topography, chemical structure, hydrophilicity, protein adsorption, and electrical properties. Cellular assays with rat C6 glioma cells, as model for cell-specific astrocytes, were performed. Remarkably, low GBN loading (0.67 %wt.) caused an important difference in the response of the C6 differentiation among PCL/GBN membranes. PCL/rGO and PCL/GO membranes presented the highest biomolecule markers for astrocyte differentiation. Our results pointed to the chemical structural defects in rGO and GO nanomaterials and the protein adsorption mechanisms as the most plausible cause conferring distinctive properties to PCL/GBN membranes for the promotion of astrocytic differentiation. Overall, our systematic comparative study provides generalizable conclusions and new evidences to discern the role of GBNs features for future research on 3D PCL/graphene composite hollow fiber membranes for <em>in vitro</em>neural models.</p>
Suppression of 1/f noise in graphene due to non-scalar mobility fluctuations induced by impurity motion
<p>Experimental dataset for article ''Suppression of 1/f noise in graphene due to non-scalar mobility fluctuations induced by impurity motion'', <a href="https://doi.org/10.48550/arXiv.2112.11933">arXiv:2112.11933</a></p>
Research data for "Exploring the configurational space of amorphous graphene with machine-learned atomic energies"
<p>This dataset supports the paper: "Exploring the configurational space of amorphous graphene with machine-learned atomic energies" (<a href="https://doi.org/10.1039/D2SC04326B">https://doi.org/10.1039/D2SC04326B</a>).</p> <p>Trajectory data for the 200-atom structures (Fig. 3) and the final configurations for the 612-atom structures as well as the GAP-17-optimised 610-atom structure from Toh et al are provided (Fig. 4). Additionally, the structures used for data analysis in Fig. 5 are given.</p> <p>The files are in extended xyz (.xyz) format and contain the raw data for coordinates, forces, and atomic energies (labelled 'c_1'). The files also contain the atomic energies relative to pristine graphene, labelled "Energy_per_atom", and the locally averaged energy relative to pristine graphene, labelled "NN_Energy_per_atom". Topological information is included at the end of the .xyz file for the 612-atom structures ('fig_4'/) and for the structures in 'fig_5/'.</p> <p>All raw atomic energies were computed using LAMMPS default settings and were output with six significant figures, with the exception of the Toh et al. structure (for which ASE was used, outputting a higher number of significant figures). </p> <p>The data can be read using, for example, the Atomic Simulation Environment (ASE), or visualised using Ovito.</p> <p> </p>
Mechanics of graphene in context
<p><strong>Mechanics of graphene in context</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0002-5022-6863, E-mail address: koncjj@gmail.com</p> <p> </p> <p>Graphene is a two-dimensional form of crystalline carbon, either a single layer of carbon atoms forming a honeycomb lattice or several coupled layers of this honeycomb structure. The word graphene, when used without specifying the form, usually refers to single-layer graphene. Graphene is a parent form of all graphitic structures of carbon: graphite, which is a three-dimensional crystal consisting of relatively weakly coupled graphene layers; nanotubes, which may be represented as scrolls of graphene; and buckyballs, spherical molecules made from graphene with some hexagonal rings replaced by pentagonal rings. The basic electronic structure of graphene and, as a consequence, its electric properties are very peculiar. By applying a gate voltage or using chemical doping by adsorbed atoms and molecules, one can create either electron or hole conductivity in graphene that is similar to the conductivity created in semiconductors. However, in most semiconductors there are certain energy levels where electrons and holes do not have allowed quantum states, and, because electrons and holes cannot occupy these levels, for certain gate voltages and types of chemical doping, the semiconductor acts as an insulator. Graphene, on the other hand, does not have an insulator state, and conductivity remains finite at any doping, including zero doping. Existence of this minimal conductivity for the undoped case is a striking difference between graphene and conventional semiconductors. Electron and hole states in graphene relevant for charge-carrier transport are similar to the states of ultra-relativistic quantum particles, that is, quantum particles moving at the speed of light. The honeycomb lattice of graphene actually consists of two sublattices, designated A and B, such that each atom in sublattice A is surrounded by three atoms of sublattice B and vice versa. This simple geometrical arrangement leads to the appearance that the electrons and holes in graphene have an unusual degree of internal freedom, usually called pseudospin. In fact, making the analogy more complete, pseudospin mimics the spin, or internal angular momentum, of subatomic particles. Within this analogy, electrons and holes in graphene play the same role as particles and antiparticles in quantum electrodynamics. Graphene provides a bridge between materials science and some areas of fundamental physics, such as relativistic quantum mechanics. There is another reason why graphene is of special interest to fundamental science: it is the first and simplest example of a two-dimensional crystal, that is, a solid material that contains just a single layer of atoms arranged in an ordered pattern. Two-dimensional systems are of huge interest not only for physics and chemistry but also for other natural sciences. In particular, due to very strong thermal fluctuations of atomic positions that remain correlated at large distances, long-range crystalline order cannot exist in two dimensions. Instead, only short-range order exists, and it does so only on some finite scale of characteristic length, a caveat that should be noted when graphene is called a two-dimensional crystal. For this reason, two-dimensional systems are inherently flexural, manifesting strong bending fluctuations, so that they cannot be flat and are always rippled or corrugated. Graphene, because of its relative simplicity, can be considered as a model system for studying two-dimensional physics and chemistry in general. Other two-dimensional crystals besides graphene can be derived by exfoliation from other multilayer crystals or by chemical modification of graphene. Modern electronics are basically two-dimensional in that they use mainly the surface of semiconducting materials. Therefore, graphene and other two-dimensional materials are considered very promising for many such applications.</p>
Composite of graphene and silver nanoparticles obtained by low-dose gamma irradiation
<p>Content:</p> <p>TEM.zip - TEM images of composites, file type .tif and .dm3</p> <p>VINCA_FTIR.zip - FTIR data of graphene oxide and exfoliated graphene, file type .csv</p> <p>VINCA_UV-Vis.zip - FTIR data of graphene oxide and exfoliated graphene composites, file type .csv</p> <p>IEMN_VNA_Graphene-AgNP - EMI shielding measurement of graphene oxide and exfoliated graphene composites, file type .xlsx</p> <p>VINCA_CA_graphene-AgNP.jpg - contact angle measurement of graphene oxide and exfoliated graphene composites</p> <p>VINCA_532nmLASER.zip - temperature elevation measurements of graphene oxide and exfoliated graphene composites, file type .csv</p> <p>FTPO_TGA_Graphene-AgNP.zip - TGA data of graphene oxide and exfoliated graphene composites, file type .txt</p> <p> </p> <p> </p>
QMC Raw Data for Graphene Corrugation Effects during Helium Adsorption
<h2>Graphene Corrugation Data Files</h2> <p> </p> <p>Raw quantum Monte Carlo data and submission scripts for a publication studying the effects of graphene corrugation on helium adsorption. </p> <p>View README.md for more information on repository contents. Updated version (2024-04-28) contains larger system sizes (N_G = 72,108).</p> <p>Fully corrugated lookup tables for isotropic graphene can be found here: https://zenodo.org/records/6574043</p>
Dataset for "Self-heating effects and switching dynamics in graphene multiterminal Josephson junctions"
<p>Dataset containing raw measurement data and simulation results for the manuscript "Self-heating effects and switching dynamics in graphene multiterminal Josephson junctions".</p>
Data and fitting script for "Direct measurement of a sin(2φ) current phase relation in a graphene superconducting quantum interference device"
<p>This repository contains data and Python analysis scripts used for the publication "Direct measurement of a sin(2\phi) current phase relation in a graphene superconducting quantum interference device (https://doi.org/10.48550/arXiv.2405.13642).</p> <p>The repository is organized as follows: the raw data are encapsulated in a QCoDes database (https://microsoft.github.io/Qcodes/) named 'D-SQUID-06.db'. Post-treated critical current data are included as .csv files and are indexed by measurement ids.</p> <p>The principal analysis is realized in the Jupyter notebook 'Fits_and_Figures.ipynb', which includes all article figures as well as fit functions for fitting both critical currents Ic- and Ic+ simulatenously, first using analytical expression from equation 3 then using numerical expression from equation 5. All fits mentionned in the article are performed there. The repository includes a generic notebook "Extract_Critical_Current.ipynb" used to explore the raw data in the Qcodes database and features an enhanced peak detection script that we used to automatically extract critical current data despite having some artifacts on raw differential conductance versus bias current and magnetic field.</p> <p>We acknowledge the contribution of R. Kerjouan for developing the Python fitting script.</p>
Form-specific prospective environmental risk assessment of graphene-based materials in European Freshwaters
<p>This dataset is related to the following publication:</p> <p>Title: Form-specific prospective environmental risk assessment fo graphene-based materials in European freshwaters</p> <p>Authors: Hyunjoo Hong, Bernd Nowack </p> <p>The files contain input files and final codes of the fs-MFA and fs-PSSD models.</p>
Figure data for Dynamical Correlations and Order in Magic-Angle Twisted Bilayer Graphene
<p>This repository contains the data corresponding to all figures in the main text of the 2024 (to appear) Phys. Rev. X article <em>Dynamical Correlations and Order in Magic-Angle Twisted Bilayer Graphene</em>. See README for notes on how to access. </p> <p>The simulation code used to generate this data is available on github.<br>w2dynamics simulations: <a href="https://github.com/lcrippa/w2dynamics-matbg-symmetric">https://github.com/lcrippa/w2dynamics-matbg-symmetric</a><br>TRIQS simulations: <a href="https://github.com/gautamra/TBLG_ordered">https://github.com/gautamra/TBLG_ordered</a></p>
Sound recordings with a graphene squeeze-film microphone
<p>This dataset contains two recordings of the Super Mario Theme song. </p> <ol> <li>"<span><a href="../api/records/13832687/draft/files/SuperMario_Mic_EntireSong_Paper.wav/content" target="_blank" rel="noopener noreferrer">SuperMario_Mic_EntireSong_Paper.wav</a></span>" was recorded with a reference microphone closely placed to a graphene squeeze-film microphone.</li> <li>"<span><a href="../api/records/13832687/draft/files/SuperMario_DUT_EntireSong_Paper_DownSampledTo48kHzSampFreqSameasMic.wav/content" target="_blank" rel="noopener noreferrer">SuperMario_DUT_EntireSong_Paper_DownSampledTo48kHzSampFreqSameasMic.wav</a></span>" was recorded with a graphene squeeze-film microphone.</li> </ol> <p>More details on the experimental conditions can be found in this preprint: <a href="https://arxiv.org/abs/2406.09566">https://arxiv.org/abs/2406.09566</a></p> <p> </p>
Monolayer nanocrystalline graphene synthesized from pyrolyzing Langmuir monolayer of polyaromatic hydrocarbon: Computational Data
<p><strong>Computational Data for Publication:</strong></p> <p> </p> <p><strong>NOTE for nomenclature</strong>: TPY in the computational data = <span>HTPHPB in the main text</span></p> <p> </p> <p><strong>Optimized TPY Geometry</strong>: tpy_optimized_coord.xyz</p> <p> </p> <p><strong>Data for Figure 1d</strong>: 1tpy_hbnum.kde.2.dat, 5tpy_hbnum.kde.2.dat</p> <p><strong>Data for Figure 1e</strong>: 1tpy_alldihedral.kde.1.dat, 5tpy_alldihedral.kde.1.dat</p> <p> </p> <p><strong>TPY_DATA.zip</strong>: Results of the minimization and MD equilibrations for 1 TPY and 5 TPY cases.</p> <p>1tpy:</p> <p>tpy_wat_inter_minimenergy</p> <p>tpy_wat_inter_70knvt_eq1</p> <p>tpy_wat_inter_300knvt_eq1</p> <p>tpy_wat_inter_300knvt_eq2</p> <p>5tpy:</p> <p>tpy_wat_inter_minimenergy</p> <p>tpy_wat_inter_70knvt_eq1</p> <p>tpy_wat_inter_300knvt_eq1</p> <p>tpy_wat_inter_300knvt_eq2</p> <p><strong>Data for Supplementary Table 1: 1tpy_dftb_d3bj_sp.zip</strong> and <strong>5tpycluster_dftb_d3bj_sp.zip</strong>: DFTB-D3BJ single point calculation results for 1 TPY and 5 TPY cluster geometries extracted from each last MD equilibration. </p> <p> </p>
Transport effects of twist-angle disorder in mesoscopic twisted bilayer graphene
<p>Magic-angle twisted bilayer graphene is a tunable material with remarkably flat energy bands near the Fermi level, leading to fascinating transport properties and correlated states at low temperatures. However, grown pristine samples of this material tend to break up into landscapes of twist-angle domains, strongly influencing the physical properties of each individual sample. This poses a significant problem to the interpretation and comparison between measurements obtained from different samples. In this work, we study numerically the effects of twist-angle disorder on quantum electron transport in mesoscopic samples of magic-angle twisted bilayer graphene. We find a significant property of twist-angle disorder that distinguishes it from onsite-energy disorder: it leads to an asymmetric broadening of the energy-resolved conductance. The magnitude of the twist-angle variation has a strong effect on conductance, while the number of twist-angle domains is of much lesser significance. We further establish a relationship between the asymmetric broadening and the asymmetric density of states of twisted bilayer graphene at angles smaller than the first magic angle. Our results show that the qualitative differences between the types of disorder in the energy-resolved conductance of twisted bilayer graphene samples can be used to characterize them at temperatures above the critical temperatures of the correlated phases, enabling systematic experimental studies of the effects of the different types of disorders also on the other properties such as the competition of the different types of correlated states appearing at lower temperatures.</p> <p>The provided repository contains all data and scripts to reproduce the figures of the manuscript. </p>
Imaging the Breaking of Electrostatic Dams in Graphene for Ballistic and Viscous Fluids
<p>These datasets can be used to reproduce the experimental and theoretical results in the manuscript "Imaging the Breaking of Electrostatic Dams in Graphene for Ballistic and Viscous Fluids," and corresponding supplementary material. </p> <p>"STP-measurement1" and "STP-measurement2" contain the raw scanning tunneling potentiometry (STP) data used to generate Figures 1-4 in the main text and Figures S2-5 in the supplement. Each ".dat" file contains the tunneling I-V curve used to solve for the electrochemical potential at a single pixel in each STP dataset. </p> <p>"Estimation of c_G.nb" contains the raw Mathematica code to generate Figure 5 in the main text and Figures S7-8 in the supplement.</p> <p>"device-resistance_gate-sweep_T=4.5K.txt" and "device-resistance_gate-sweep_T=77K.txt" can be used to reproduce Figure S1 in the supplement. </p> <p> </p>
Transport signatures of Van Hove singularities in mesoscopic twisted bilayer graphene
<p>Magic-angle twisted bilayer graphene exhibits quasi-flat low-energy bands with Van Hove singularities close to the Fermi level. These singularities play an important role in the exotic phenomena observed in this material, such as superconductivity and magnetism, by amplifying electronic correlation effects. In this work, we study the correspondence of four-terminal conductance and the Fermi surface topology as a function of the twist angle, pressure, and energy in mesoscopic, ballistic samples of small-angle twisted bilayer graphene. We establish a correspondence between features in the wide-junction conductance and the presence of van Hove singularities in the density of states. Moreover, we identify additional transport features, such as a large, pressure-tunable minimal conductance, conductance peaks coinciding with non-singular band crossings, and unusually large conductance oscillations as a function of the system size. Our results suggest that twisted bilayer graphene close the magic angle is a unique system featuring simultaneously large conductance due to the quasi-flat bands, strong quantum non-linearity due to the Van Hove singularities and high sensitivity to external parameters, which could be utilized in high-frequency device applications and sensitive detectors.</p> <p>The provided repository contains all data and scripts to reproduce the figures of the manuscript. In the new version of the repository we also provide scripts to create finite samples for conductance calculations and to create periodic samples for band structure calculations.</p>
Dataset of electron-phonon coupling calculations for graphene using DFTBephy
<p>This dataset accompanies the publication titled "DFTBephy: A DFTB-based Approach for Electron-Phonon Coupling Calculations".</p> <p>The ZIP file contains results for graphene obtained with <a href="https://github.com/CoMeT4MatSci/dftbephy">DFTBephy</a> for different parametrizations (matsci, mio and 3ob) and one SCC calculation (matsci-scc). The corresponding directories contain the optimized unit-cell (geo_end.gen), the electronic band-structure and phonon dispersion along a band-path (path_el_bandstructure.json and path_ph_bandstructure.json), the (square of the) electron-phonon coupling matrix close to the K-point (el-ph-Nq200-K.hdf5), and the electronic life-times on a k-mesh (relaxation-times-fine.hdf5).</p>
Supporting data for 'Chemically Reduced Graphene Oxide based Aerogels (rGOAs) - insight on the surface and textural functionalities dependent on handling the synthesis factors'
<p>Experimental data for the 'Chemically Reduced Graphene Oxide based Aerogels (rGOAs) - insight on the surface and textural functionalities dependent on handling the synthesis factors' manuscript/publication.</p> <p>Package contains following data:<br> 1. File with description of the experimental conditions for rGOAs synthesis, format: .pdf, number of files: 1 <br> 2. Data of Boehm titration for graphene oxide used for synthesis of rGOAs, format: .txt, number of files: 12<br> 3. Fourier-transform infrared spectra of rGOA samples and GO used for synthesis, format: .csv, number of files: 16<br> 4. Raw chromatograms of test probes for rGOA samples, format .txt, number of files: 15 folder with 11 files in each</p> <p> </p>
Spin-polarizing electron beam splitter from crossed graphene nanoribbons
<p>OPEN DATA related to the research publication:</p> <p>S. Sanz, N. Papior, G. Giedke, D. Sánchez-Portal, M. Brandbyge, and T. Frederiksen, <br><em>Spin-polarizing electron beam splitter from crossed graphene nanoribbons</em>,<br><a href="https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.129.037701" target="_blank" rel="noopener">Phys. Rev. Lett. <strong>129</strong>, 037701 (2022)</a> [arXiv:2201.07147]</p> <p>Abstract: Junctions composed of two crossed graphene nanoribbons (GNRs) have been theoretically proposed as electron beam splitters where incoming electron waves in one GNR can be split coherently into propagating waves in <em>two</em> outgoing terminals with nearly equal amplitude and zero back-scattering. Here we scrutinize this effect for devices composed of narrow zigzag GNRs taking explicitly into account the role of Coulomb repulsion that leads to spin-polarized edge states within mean-field theory. We show that the beam-splitting effect survives the opening of the well-known correlation gap and, more strikingly, that a <em>spin-dependent</em> scattering potential emerges which spin polarizes the transmitted electrons in the two outputs. By studying different ribbons and intersection angles we provide evidence that this is a general feature with edge-polarized nanoribbons. A near-perfect polarization can be achieved by joining several junctions in series. Our findings suggest that GNRs are interesting building blocks in spintronics and quantum technologies with applications for interferometry and entanglement.</p>
Implementing electronic signatures of graphene and hexagonal boron nitride in twisted bilayer molybdenum disulfide
<p><strong>Abstract</strong></p> <p>Angeli and MacDonald reported a superlattice-imposed Dirac band in twisted bilayer molybdenum disulphide (tBL MoS2) for small twist angles towards the R_h^M (parallel) stacking. Using a hierarchical set of theoretical methods, we show that the superlattices differ for twist angles with respect to metastable R_h^M (0°) and lowest-energy H_h^h (60°) configurations. When approaching R_h^M stacking, identical domains with opposite spatial orientation emerge. They form a honeycomb superlattice, yielding Dirac bands and a lateral spin texture distribution with opposite-spin-occupied K and K’ valleys. Small twist angles towards the H_h^h configuration (60°) generate H_h^h and H_h^X stacking domains of different relative energies and, hence, different spatial extensions. This imposes a symmetry break in the moiré cell, which opens a gap between the two top-valence bands, which become flat already for relatively small moiré cells. The superlattices impose electronic superstructures resembling graphene and hexagonal boron nitride into trivial semiconductor MoS<sub>2</sub>.</p> <p>The data set published in this repository was used to create the preprint published at <strong>https://doi.org/10.26434/chemrxiv-2023-rx2fz</strong>.</p> <p><strong>Content of repository</strong></p> <ul> <li>"ReaxFF_structure_optimization.zip": contains the inputs and outputs for all structure optimizations for ML, BL, and tBL systems using the Reax force field, performed using LAMMPS.</li> <li>" bilayer_verification_ReaxFF_with_DFT.zip": contains the inputs and outputs for verifying the results of the Reax force field by running DFT geometry optimization and total energy calculations in FHI-aims for the high-symmetry bilayer stackings.</li> <li>"QATK_band_structures_and_eff_mass.zip": contains the inputs and outputs of all calculations done via QuantumATK (QATK), including calculations for ML, BL, and tBL systems on DFT and DFTB level of theory.</li> <li>"TB_fit.zip": contains the Python scripts and input data (DFTB band structure) used to fit the TB Hamiltonians as described in the Methods section and shown in the Supplementary Material.</li> <li>"effective_masses_from_bands.zip": contains the extraction of the effective hole masses from the bands calculated at the DFTB level of theory in QATK.</li> </ul>
Particle–hole symmetry protects spin-valley blockade in graphene quantum dots
<p> Experimental data and python scripts used to evaluate the data and to perform simulations for the publication</p> <p>" Particle-hole symmetry protects spin-valley blockade in graphene quantum dots " in Nature.</p> <p>https://doi.org/10.1038/s41586-023-05953-5</p> <p> </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.