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26 results for “spin polarization”
Data of publication 'Optical spin-state polarization in a binuclear europium complex towards molecule-based coherent light-spin interfaces'
<p>Data of publication 'Optical spin-state polarization in a binuclear europium complex towards molecule-based coherent light-spin interfaces' by Kuppusamy Senthil Kumar et al. The two versions of Fig. 4d datasets correspond to the preprint version (https://zenodo.org/record/4905692#.Ymj9odpBxaQ) and publication version (https://www.nature.com/articles/s41467-021-22383-x), since a new set of data was taken during the review process. </p>
Supporting Information for Disclosing Spin-Polarized Bonds on Isolable Molecules
<p>The file corresponds to the Bachelor Thesis of Ms. Elena Paulus. It contains the xyz coordinates of all optimized structures and their corresponding electronic energy in Hartree.</p>
Replication Data for: Determination of Intrinsic Effective Fields and Microwave Polarizations by High-Resolution Spectroscopy of Single NV Center Spins
<p>Data repository for: <strong>Determination of Intrinsic Effective Fields and Microwave Polarizations by High-Resolution Spectroscopy of Single NV Center Spins</strong></p> <p><em>Data description.pdf</em> describes the uploaded data.<br> <em>Data.xlsx</em> is the data represented in the paper.<br> <em>Esrfit_Npeak.m</em>, <em>Esrfit_xN.m</em>, <em>GaussianFunc.m</em>, <em>Gaussian_xN_Func.m</em>, <em>Lorentz_Func.m</em>, <em>Lorentz_xN_Func.m</em>, <em>Rabifit_xN.m</em>, <em>Rabi_xN_Func.m</em>, <em>FourierTransformRabi.m</em> are Matlab code files to transform and fit the data.</p>
How to reveal metastable skyrmionic spin structures by spin-polarized scanning tunneling microscopy
<p>We predict the occurrence of metastable skyrmionic spin structures such as antiskyrmions and<br> higher-order skyrmions in ultra-thin transition-metal films at surfaces using Monte Carlo simulations<br> based on a spin Hamiltonian parametrized from density functional theory calculations.Weshow that<br> such spin structures will appear with a similar contrast in spin-polarized scanning tunneling<br> microscopy images. Both skyrmions and antiskyrmions display a circular shape for out-of-plane<br> magnetized tips and a two-lobe butterfly contrast for in-plane tips. An unambiguous distinction can<br> be achieved by rotating the tip magnetization direction without requiring the information of all<br> components of the magnetization.</p>
Design Principles for the Development of Gd(III) Polarizing Agents for Magic Angle Spinning Dynamic Nuclear Polarization
<p>This is the raw dataset for publication </p> <p>Design Principles for the Development of Gd(III) Polarizing Agents for Magic Angle Spinning Dynamic Nuclear Polarization. with the DOI of 10.1021/acs.jpcc.2c01721. It contains all NMR, EPR raw data and the MATLAB codes that are used in this paper.</p> <p>For details, please refer to the readme file.</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>
The effect of spin polarization in DEER spectroscopy
<p>This works examines the physics underlying double electron-electron resonance (DEER) spectroscopy, a magnetic-resonance method that provides nanoscale data about protein structure and conformations. Here, the data files are presented that were used for publication, both main text and supplement.</p>
Data for "Magic Angle Spinning Solid-State 13C Photochemically Induced Dynamic Nuclear Polarization by a Synthetic Donor–Chromophore–Acceptor System at 9.4 T"
<p>NMR data and photo-CIDNP-enhanced NMR data for "Magic Angle Spinning Solid-State 13C Photochemically Induced Dynamic Nuclear Polarization by a Synthetic Donor–Chromophore–Acceptor System at 9.4 T".</p> <p>All data but those relative to the spectra in Figure S13 are provided in Bruker format. For the low field experiments (Figure S13), raw free induction decay NMR data are provided, together with a processing script written in Wolfram Mathematica.</p>
Identifying routes for transferring spin polarization from parahydrogen to protic solvents
<p>NMR data and MATLAB codes supporting the publication '<strong>Identifying routes for transferring spin polarization from parahydrogen to protic solvents'</strong>. The NMR_data file enables to reconstruct the PTF profiles, the solvent lifetime calculations, and the molar polarization values for each solution. The SABRE_2D data file contains the 2D-OPSY-COSY sequence for elucidation of the catalyst structure 2a-d. The Codes folder contains the MATLAB codes for construction of the PTF profiles and the solvent lifetime plots. The PDF file contains the specific details on which data is used for which figure. </p> <p> </p> <p> </p>
Rawdata for publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy
<p>This is the raw dataset for the publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy. It contains the EPR and NMR data used in this publication. DOI of this pubcliation: 10.1021/acs.jpclett.4c02709</p>
Supplementary material for "Spin-Polarized Tunable Photocurrents"
<p>Supplementary material for "Spin-Polarized Tunable Photocurrents", <em>Nano Lett.</em> 2021, 21, 7, 3177–3183 (2021), https://pubs.acs.org/doi/full/10.1021/acs.nanolett.1c00420</p> <p> </p>
Isospin magnetism and spin-polarized superconductivity in Bernal bilayer graphene
Open the record for dataset details and reuse information.
Janus Mn single atoms for triggering efficient photothermal catalytic CO2 methanation through spin polarization effect
Open the record for dataset details and reuse information.
Enhanced Intersystem Crossing and Transient Electron Spin Polarization in a Photoexcited Pentacene−Trityl Radical
<p>Data sets are broken down by figures in the paper: UV-vis data, Transient absorption data, time resolved EPR data, pulsed EPR data</p> <p> </p>
Extended Hubbard Model with spin-valley polarization DMRG solution
<p>The data set for containing observables obtained by means of Density Matrix Renormalization Group for the Extended Hubbard model at filling n=2/3 and with spin-valley polarization included in the single-particle term. For all the considered case the on-site Hubbard repulsion U is set to 15|t| and |t| = 1. The phase for hopping termi is 2*pi/3.</p> <p>Folders naming convention is following:</p> <p>VXYZ</p> <p>V stands for intersite interaction and XYZ is its magnitude.</p> <p> </p> <p>In each folder there are following files:</p> <p>- n_single</p> <p>columns: i j Re_up Im_up Re_dn Im_dn</p> <p>Where: i,j are site indicies Re(Im)_up(dn) stand for the real(imaginary) part of single particle equal-time Green function for up(dn) spin</p> <p>- nn</p> <p>columns: i j Re_up Im_up Re_dn Im_dn Re_(up+dn) Im_(up+dn)</p> <p>Where: i,j are site indicies Re(Im)_up(dn) stand for the real(imaginary) part of two particle equal-time Green function <n_i,up(dn) n_j,up(dn)> for up(dn) spin and two last columns correspond to <(n_i,up+n_i,dn)(n_j,up+n_j,dn)></p> <p>- ss</p> <p>columns: i j Re Im</p> <p>Where: i,j are site indicies Re(Im) stand for the real(imaginary) part of two particle equal-time Green function <S_i S_j> where S_i is total spin operator on site "i"</p> <p>- szsz</p> <p>columns: i j Re Im</p> <p>Where: i,j are site indicies Re(Im) stand for the real(imaginary) part of two particle equal-time Green function <S_z S_z> where S_z is z-th component of spin operator on site "i"</p> <p>- spsm</p> <p>columns: i j Re Im Re Im</p> <p>Where: i,j are site indicies Re(Im) stand for the real(imaginary) part of two particle equal-time Green function <S_i^(+)S_j^(-)> and <S_i^(-)S_j^(+)> where S_i^(+/-) are spin ladder operators</p> <p> </p>
Supporting information: "Spin-polarization and resonant states in electronic conduction through a correlated magnetic layer"
<p>The supporting information contains the computational details and numerical data for the article. The<br> directory ‘scripts’ of the supplementary material contains the Python code used to create Figures 2–6.<br> The code can be used to exactly reproduce the figures.</p> <p><br> Figures 5 and 6 show interacting data, which requires a computationally involved self-consistent dynamical mean-field theory (DMFT) calculation. The results of this calculation are in the directory ‘DMFT_data’,<br> the subdirectories are named according to the parameters, where ‘tl’ is $t_L$, ‘tc’ is $t_{01}$, and ‘U’ is $U_{0}$.<br> The data is saved as HDF5 files. They can be opened conveniently using Python using the method<br> ‘open_dataset’ given in ‘scripts/dataio.py’.</p> <p> </p>
Increasing the sensitivity of hyperpolarized [15N2]urea detection by serial transfer of polarization to spin-coupled protons
<p>This upload contains the raw data, MATLAB scripts and Mathematica notebooks used for the publication.</p> <p>Figure 2, 3, 7 and 8 where generated with the Mathematica notebooks in the folder Mathematica_Notebooks.</p> <p>Figure 4 was generated with the raw data in NOE_data/20190821 and processed with the script NOE_data/20190821/H1to15NNOEin15N2urea.m</p> <p>Figure 5a is based on data in Polarization_Transfer_Data/spectral/timecourse/_fk_BHINDER_flipback_15Nto1H_hyp_20180609_01.fid processed with Polarization_Transfer_Data/spectral/timecourse/_fk_BHINDER_flipback_15Nto1H_hyp_20180609_01.fid/timecourse.m</p> <p>Figure 5b is based on Polarization_Transfer_Data/imaging/_fk_BHINDER_flipback_EPIP_hyp_10perc_20180531_01.img . From this raw data image2 - image60 are acquired after polarisation transfer. Image1 is a direct acquisition of the water resonance .</p> <p>The brightness and contrast of the images was adjusted and a montage of images 2 to 9 was created with (Fiji <a href="https://imagej.net/software/fiji/">https://imagej.net/software/fiji/</a>) .</p> <p>Figure 6 is based on data in Polarization_Transfer_Data/spectral/interleaved processed with Polarization_Transfer_Data/spectral/interleaved/comparision.m</p> <p>The script Pulse_Generation/createIRRUPT.m was used to generate the adiabatic pulses.</p>
Data for "A versatile platform for graphene nanoribbon synthesis, electronic decoupling, and spin polarized measurements"
<p>Data for figures of the main and supplemental part of "A versatile platform for graphene nanoribbon synthesis, electronic decoupling, and spin polarized measurements" by <a href="https://doi.org/10.1039/D2NA00668E">Cahlík et al., Nanoscale Advances (2023)</a></p> <p> </p>
Effects of surface wettability on (001)-WO3 and (100)-WSe2 : A spin-polarized DFT-MD study
<p>An extensive understanding of WO3 and WSe2 bulk crystalline structures and explicit solvent effects on (001)-<br> WO3 and (100)-WSe2 facets are essential for design of efficient (photo) electrocatalysts. The atomistic level<br> understanding of both WO3 and WSe2 bulk solids and how water solvation processes occur on WO3 and WSe2<br> facets are nowadays characterized by a noticeable lack of knowledge.</p> <p><br> Herein, forefront Density Functional Theory-based molecular dynamics have been conducted for assessing<br> the role of an explicit water environment in the characterization of solid surfaces. Water at the interface<br> and H-bonds environment, as well as WO3 and WSe2 surface activity, will be described in terms of surface<br> wettability and interfacial water dynamics, revealing the relevance of treating explicitly liquid water and its<br> dynamics in assessing catalytic features. We provide pieces of evidence of the hydrophobic character shown by<br> (001)-WO3 and (100)-WSe2 facets. A preferential in-plane hydration structure of the first water layer has been<br> detected at both (001)-WO3 and (100)-WSe2 water interface, in which the electric dipole moment of water<br> molecules is re-oriented in a sort of 2-dimensional H-bond network. Bulk property calculations of WO3 and<br> WSe2 are also provided</p>
IN-CELL QUANTIFICATION OF DRUGS BY MAGIC ANGLE SPINNING DYNAMIC NUCLEAR POLARIZATION NMR
<p>Raw data</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.