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28 results for “SrTiO3”
The role of etching anisotropy in the fabrication of freestanding oxide microstructures on SrTiO3(001), SrTiO3 (110), and SrTiO3 (111) substrates
<p>Datafiles for the Figures and Supplementary Material of the article "The role of etching anisotropy in the fabrication of freestanding oxide microstructures on SrTiO3(001), SrTiO3 (110), and SrTiO3 (111) substrates" published in Applied Physics Letters by Alejandro E. Plaza et al. (2021)</p>
Raw data for High Temperature Photochromism of Fe-Doped SrTiO3 Caused by UV Induced Bulk Stoichiometry Changes
<p>In the following the raw data lying the foundation of the paper High Temperature Photochromism of Fe-Doped SrTiO3 Caused by UV Induced Bulk Stoichiometry Changes (Viernstein et al.) published in Advanced Functional Materials Vo. 29 Issue 23 (WILEY-VCH Verlag GmbH & Co. KGaA, Germany) in 2019 are described. They were obtained under the funding provided by Austrian Science Fund (FWF) (project F4509-N16, FOXSI) and the European Union`s Horizon 2020 research and innovation program under the grant agreement No. 824072 and consist of UV/VIS spectra, van der Pauw measurements, electrochemical impedance spectra, and laser ablation ICP-MS data.</p> <p>The UV/VIS measurements were carried out in air, at 440 °C using a deuterium and a tungsten lamp (Edmund Optics Inc., Germany) as light source and an Ocean Optics QE6500 (Halma plc, England) as spectrometer. The data include background, I<sub>0</sub> and I absorption measurements of Fe doped SrTiO<sub>3</sub> (STO) single crystals before, during, and after illumination with UV light (365 nm). The data files are labeled for example as “UVvis_FeSTO_background_1” or ”UVvis_FeSTO_I_440C_UVon_90s”, to state the type auf measurement, temperature, and status of the experiment. In each of them the average of 30 spectra is given and each exhibits two columns, namely wavelength, and intensity.</p> <p>The van der Pauw measurements were performed on two Keithley 20 multimeter and a 2410 1100 V source meter (Keithley Instruments, USA). They are labeled in the following way: “date_applied voltage_atmosphere_sample identification_temperature cycle_status of the measurement”. Each file consists out of a header giving time, cycle number, temperature (real and set) and six columns, t[s], (applied) U[V], (measured) I[A], R [Ohm], and two unnamed columns ((applied) U[V] and (measured) U [V]).</p> <p>The electrochemical impedance spectra were obtained before, during, and after UV exposure, using an Electrochemical Test Station POT/GAL 30 V/2 A or a Novocontrol Alpha‐A high‐performance frequency analyzer, respectively (both Novocontrol Technologies GmbH & Co. KG, Germany). Each spectrum is named after the following description: “date_sample name_UVonoff_real temperature_atmosphere_spectra number”. A header with date, time, cycle number, and temperature followed by four columns, namely Freq [Hz], Re (real part of the impedance spectra), Im (imaginary part), Amp (amplitude), and Pha (phase) are given.</p> <p>Laser ablation ICP-MS measurements were performed on a NWR213 laser ablation system (ESI; USA) and an iCAP Q ICP-MS (Thermo Fisher Scientific, Germany). The obtained data file is labeled as Iaser_ablation_ICP_MS_FeSTO and exhibits sample names, names of the measured masses (isotopes) and the obtained counts.</p>
BaTiO3--SrTiO3 composites: a microscopic study on paraelectric cubic inclusions
<p>This repository contains the simulation results for cubic SrTiO3 inclusions embedded in a BaTiO3 matrix using coarse-grained molecular dynamics package <a title="Feram" href="https://loto.sourceforge.net/feram/" target="_blank" rel="noopener">Feram</a>.</p> <p>These data can be visualized with scripts in the <a href="https://gitlab.ruhr-uni-bochum.de/icams-sfc/sto_inclusion" target="_blank" rel="noopener">RUB gitlab</a> repository and are supplementary for an associated publication.<br>The publication link will be provided after publishing.</p> <p>All files (1: data.avg, 2: *.dipoRavg, 3: *.hl) use the space-separated format.</p> <p>(1) data.avg columns:<br>T: temperature in Kelvin<br>Ex Ey Ez: external_E_field along x,y,z in V/Angstrom.<br>exx eyy ezz eyz ezx exy: strain tensor<br>ux uy uz: dipole displacements in Angstrom<br>uxux uyuy uzuz uyuz uzux uxuy: cross-terms of dipole displacements in Angstrom^2<br>dk: dipo_kinetic in eV/u.c.<br>lr: long_range in eV/u.c.<br>dEf: dipole_E_field in V/Angstrom<br>unhar: unharmonic in eV/u.c.<br>s_ho: homo_strain in eV/u.c.<br>c_ho: homo_coupling in eV/u.c.<br>s_inho: inho_strain in eV/u.c.<br>c_inho: inho_coupling in eV/u.c.<br>etot: total energy in eV/u.c.<br>HNP: H_Nose_Poincare in eV/u.c.<br>e2: e2<br>dkt: dipo_kinetic_true in eV/u.c.<br>ak: acuou_kinetic in eV/u.c.<br>sr: short_range in eV/u.c.<br>mod: inho_modulation in eV/u.c.<br>px py pz: px py pz<br>ppx ppy ppz ppyz ppzx ppxy: ppx ppy ppz ppyz ppzx ppxy<br>mx my mz: <ux>, <uy>, <uz> in Angstrom<br>amx amy amz: <|ux|>, <|uy|>, <|uz|> in Angstrom</p> <p>(2) *.dipoRavg columns:<br>x y z: coordinates<br>ux uy uz: dipole displacements in Angstrom</p> <p>(3) *.hl columns:<br>step: timestep<br>T: temperature in Kelvin<br>Ex Ey Ez: external_E_field in V/Angstrom <br>exx eyy ezz eyz ezx exy: strain tensor<br>ux uy uz: dipole displacements in Angstrom</p>
Neural-network-backed evolutionary search for SrTiO3(110) surface reconstructions
<p>The archive "dataset.tar.gz" contains trained models (neural networks), training-, validation- and test-data and selected structures in POSCAR format, obtained in the neural-network-backed evolutionary search for SrTiO3(110) surface reconstructions.</p> <p>See README for more information on the archive content.</p>
Dataset for "Unravelling the Origin of Ultra-Low Conductivity in SrTiO3 Thin Films: Sr Vacancies and Ti on A-Sites Cause Fermi Level Pinning"
<p>Raw data used in the paper "Unravelling the Origin of Ultra-Low Conductivity in SrTiO3 Thin Films: Sr Vacancies and Ti on A-Sites Cause Fermi Level Pinning", available at DOI: 10.1002/adfm.202202226.</p> <p>Data include impedance spectra, extracted conductivities and defect chemical mdoel calculations:</p> <p>Impdance.csv: Impedance data for differently doped STO thin films</p> <p>Fe_04_10.csv: Conductivity vs. temperature for differntly depoed Fe:STO films<br> UD_Al_Ni.csv: Conductivity vs. temperature for undoped, Al-doped and Ni-doped films<br> 0_4Fe.csv: Conductivity vs. temperature for 0.4 % Fe doped films<br> pO2.csv: Conductivity vs. pO2 at different temperatures for 0.4 % Fe doped films</p> <p>Optimal_Brouwer.csv: Brouwer diagram for STO where A site Ti counterbalances Sr vacancies<br> Buffer_Curve.csv: Variation in the ratio of Sr vacancies to A site Ti<br> Site_Equilibrium.csv: Equilibrium defect concentrations for varying standard Gibbs free energy of the site change reaction<br> Ti_Switch: Total Gibbs free energy (and defects) for varying extent of site change reaction (amount of Ti on A site)<br> ParameterSpace.csv: Conductivity as a function of Standard Gibbs free energy of site change and energy level of Sr vacancies<br> ParameterSpaceXsi.csv: Conductivity as a function of extent of site change and energy level of Sr vacancies</p> <p>Fe_Optimal_Brouwer.csv: Brouwer diagram for Fe:STO where A site Ti counterbalances Sr vacancies<br> Fe_Buffer_Curve.csv: Variation in the ratio of Sr vacancies to A site Ti<br> ParameterSpaceIronG.csv: Conductivity as a function of Fe doping and Standard Gibbs free energy of site change</p>
Predicting Pulsed Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - sample treated_213nm
<p>RHEED intensity image dataset of sample "<strong>treated_213nm"</strong> in work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Datasets for Work "Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction"
<p>RHEED raw dataset and Gaussia fitting parameter dataset for samples "treated_213nm", "treated_81nm" and "untreated_162nm" in the work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Exploring point defects and trap states in undoped SrTiO3 single crystals
<p>This dataset includes the raw data for the publication "Exploring point defects and trap states in undoped SrTiO3 single crystals" by Siebenhofer et. al, published in the Journal of the European Ceramic Society. The originlab file includes all raw data for the original figures presented in the main paper and the supporting information, organized in labelled folders containing tabelled data and the corresponding figure. </p>
Cation non-stoichiometry in Fe:SrTiO3 thin films and its effect on the electrical conductivity
<p>This dataset contains raw data and figures used in the publication: <a href="https://doi.org/10.1039/D1NA00358E">https://doi.org/10.1039/D1NA00358E</a></p>
Resistive switching suppression in metal/Nb:SrTiO3 Schottky contacts prepared by room-temperature Pulsed Laser Deposition
<p>Datafiles of the article "Resistive switching suppression in metal/Nb:SrTiO<sub>3</sub> Schottky contacts prepared by room-temperature pulsed laser deposition".</p>
Data for Exploring Inhomogeneous Surfaces: Ti-rich SrTiO3(110) Reconstructions via Active Learning
<p>The archive "supplementary_data.tar.gz" contains structures, training data, training scripts, models and an evolution script obtained and reported in the study:<br>"Exploring Inhomogeneous Surfaces: Ti-rich SrTiO3(110) Reconstructions via Active Learning".</p> <p>See README for more information on the archive content.</p>
Synthetic 4D STEM dataset based on a SrTiO3 supercell with two additional artificial spatial frequencies
<p>This dataset allows to investigate phase contrast methods for 4D scanning transmission electron microscopy, such as ptychography.</p> <p>A synthetic dataset has been simulated, based on an SrTiO<sub>3</sub> unit cell as a starting point. Then, a five by five super cell was created by repetition. Two artificial spatial frequencies were added to the phase grating, one with a wavelength of a single unit cell and one with a wavelength of the super cell. To eliminate dynamical scattering, a 4D-STEM simulation with 20 × 20 scan points per unit cell was performed using only one slice with a thickness of one unit cell along electron beam direction [001].</p> <p><strong>Files</strong></p> <ul> <li><em>conf_01.mat</em>: HDF5 file with the phase grating.</li> <li><em>Data extraction and plot of the phase grating.ipynb</em>: Jupyter notebook showing how to access the phase grating file and plot the data.</li> <li><em>slice_00001_thick_1.9525_nm_blocksz100.raw</em>: Simulated 4D STEM dataset as a raw binary file. Shape 100 x 100 x 596 x 596, dtype float32.</li> <li><em>ssb-example.ipynb</em>: Jupyter notebook showing first moment analysis and ptychography with the dataset.</li> </ul> <p><strong>Simulation parameters</strong></p> <ul> <li>Scan points: 100x100</li> <li>Field of view: 1.9525nm</li> <li>Convergence angle: 23mrad, 136 px</li> <li>Acceleration voltage: 300 kV</li> <li>Center: (297, 297)</li> <li>Rotation angle: 0°</li> </ul>
Data for "Quantized critical supercurrent in SrTiO3-based quantum point contacts"
<p>Spreadsheets containing raw data, axis and trace labels necessary to reproduce all figures in the submitted manuscript "Quantized critical supercurrent in SrTiO<sub>3</sub>-based quantum point contacts".</p> <p> </p>
Predicting Pulsed Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - sample untreated_162nm
<p>RHEED intensity image dataset of sample <strong>untreated_162nm</strong> in work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Predicting Pulsed Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - sample treated_81nm
<p>RHEED intensity image dataset of sample <strong>t0.08</strong> in work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - gaussian_fit_parameters - sample untreated_162nm
<p>RHEED raw dataset and Gaussia fitting parameter dataset for sample "untreated_162nm" in work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
Compressed Datasets for Work "Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction"
<p>Compressed version of RHEED image datasets and Gaussia fitting parameter datasets for samples "treated_213nm", "treated_81nm" and "untreated_162nm" in the work "Predicting Pulsed Laser Deposition SrTiO<sub>3 </sub>Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."</p>
High-resolution 4D STEM dataset of SrTiO3 along the [1 0 0] axis at high magnification
<p>This dataset can be used to test various analysis methods for high-resolution 4D STEM, including phase contrast methods such as ptychography. Scan and diffraction coordinates have been calibrated. The high scan magnification allows to identify individual atoms and easily distinguish them from reconstruction artifacts.</p> <p>Data was acquired at a probe-corrected FEI Titan 80-300 STEM operated at 300 kV. The microscope was equipped with a Medipix Merlin for EM detector operated at an acquisition rate for individual diffraction patterns of 1 kHz. The scan size was 128 x 128 scan points and the recorded diffraction patterns had a dimension of 256 x 256 pixel.</p> <p>The convergence angle of the incident probe was measured with a polycrystalline gold specimen. Employing parallel illumination first, the (111) gold diffraction ring was used to calibrate the diffraction space assuming a lattice constant of gold of 0.4083 nm. With the known wavelength the convergence semi-angle was determined to 22.1 mrad from a Ronchigram recorded in the same STEM setting as used in the actual experiment. The convergence semi-angle in pixel was determined from the size of the primary beam on the detector.</p> <p>The rotation and handedness of the detector coordinate system with respect to the scan axes was determined by minimizing the curl of the first moment vector field and making sure that the divergence of the field is negative at atom positions. Note that, in theory, the curl of purely electrostatic fields should vanish. The pixel size in the scan dimension of 12.7 pm was taken from the STEM control software during live processing and verified by comparison with the known lattice constant of SrTiO<sub>3</sub>. The residual scan distortion, that is, the translation of the diffraction pattern as a whole during scanning, was not compensated for since it turned out to be negligible at the atomic-resolution STEM magnifications used in this analysis.</p> <p>The sample thickness was approximately 25 nm, determined by comparing the PACBED with simulation.</p> <p><strong>Parameters</strong></p> <p>Scan pixel size: 12.7 pm</p> <p>Center y: 126 px</p> <p>Center x: 123 px</p> <p>Convergence semi-angle: 22.13 mrad, 15.5 px</p> <p>Thickness: approx. 25 nm</p> <p>Affine transformation of the direction of scan coordinates to detector coordinates using https://github.com/LiberTEM/LiberTEM/blob/master/src/libertem/corrections/coordinates.py:</p> <pre>transformation = rotate_deg(88) @ flip_y() det_sy, det_sx = ((scan_sy, scan_sx) @ transformation)</pre> <p>See the included notebook for an exemplary analysis. See https://arxiv.org/abs/2106.13457 for more details.</p>
Data for "Clean ballistic quantum point contact in SrTiO3"
<p>Spreadsheets containing raw data, axis and trace labels from submitted manuscript "Clean ballistic quantum point contact in SrTiO<sub>3</sub>".</p>
Data from: Synaptic memory devices from CoO/Nb:SrTiO3 junction
Non-volatile memristors are promising for future hardware-based neurocomputation application because they are capable of emulating biological synaptic functions. Various material strategies have been studied to pursue better device performance, such as lower energy cost, better biological plausibility, etc. In this work, we show a novel design for non-volatile memristor based on CoO/Nb:SrTiO3 heterojunction. We found the memristor intrinsically exhibited resistivity switching behaviors, which can be ascribed to the migration of oxygen vacancies and charge trapping and detrapping at the heterojunction interface. The carrier trapping/detrapping level can be finely adjusted by regulating voltage amplitudes. Gradual conductance modulation can therefore be realized by using proper voltage pulse stimulations. And the spike-timing-dependent plasticity, an important Hebbian learning rule has been implemented in the device. Our results indicate the possibility of achieving artificial synapses with CoO/Nb:SrTiO3 heterojunction. Compared with filamentary-type of synaptic device, our device has potential to reduce energy consumption, realize large scale neuromorphic system, and work more reliably, since no structural distortion occurs.
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