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1,491 results for “Ione”
Tripartite quantum Rabi model with trapped Rydberg ions data
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Self-ion irradiation effects on nanoindentation-induced plasticity of crystalline iron: A joint experimental and computational study
<p>Set consists two folders named after the methods used to obtained the data i.e. Nanoindentation, EBSD.</p> <p><strong>→ EBSD</strong></p> <p>In EBSD folder there are 3 original image files that make up Figure 1 and Figure 3a and 3b in the paper. Below please find the description:</p> <p><em>Fig. 1</em><em>. EBSD IPF Z image of the pristine Fe sample.</em></p> <p><em>Fig. 3</em><em>. (a) EBSD map of the indentation array made within one grain with [101] orientation, (b) GND density of map of the indentation array</em></p> <p><strong>→ Nanoindentation</strong></p> <p>In Nanoindentation folder there are two folders dedicated to two different materials (pristine and ion irradiated). The name of .txt files is as follows:</p> <p>Pure_Fe_300C_5MeV_1,5mN_100x1-107131929</p> <p>where:</p> <p>Pure_Fe_300C_5MeV -> Name of the sample,</p> <p>1,5mN -> Load</p> <p>100 -> Number of repetitions</p> <p>x1 -> Number of LD curves</p> <p> </p>
Influence of ion irradiation on the nanomechanical properties of thin alumina coatings deposited on 316L SS by PLD
<p>Set consists three folders named after the methods used to obtained the data i.e. Nanoindentation, XRD and SEM.</p> <p><strong>→ SEM </strong></p> <p>In SEM folder there are 4 original image files that make up Figure 2 in the paper. Below please find the description:</p> <p><em>Fig. 2. SEM images of: (a) etched 316L SS surface; as-deposited PLD-grown Al2O3 coating on 316L SS: (b) cross-section, (c) surface; (d) surface of PLD-grown Al2O3 coating after ion irradiation (50 dpa).</em></p> <p><strong>→ XRD</strong></p> <p>In XRD folder there are two .txt files that makes up the Fig. 3 in the paper. In each of them there are two columns, where 1<sup>st</sup> is 2θ (°) and 2<sup>nd</sup> is Intensity (counts per second). Based on the filenames, they are clearly identifiable.</p> <p><strong>→ Nanoindentation</strong></p> <p>In Nanoindentation folder there are two folders dedicated to two different materials (coating and substrate steel). In each of these folders there are subfolders indicating data for the particular material state (level of dpa). To each unique combination of the material, state and nanoindentation force there are two .txt files assigned. First is named ‘LD [material] [dpa][force].txt’ and contains Load-displacement data. In such a file there are two columns, where 1<sup>st</sup> is force (mN) and 2<sup>nd</sup> is displacement (nm). Single curves are arranged one under another (separated with two empty rows). Second file is named ‘AR [material] [dpa][force].txt’ and contains aggregate data. For reproducing the calculations given in the paper, first seven columns from the file are needed:</p> <p>1<sup>st</sup> – measurement No</p> <p>3<sup>rd</sup> - Maximum indentation depth h(max) (nm)</p> <p>4<sup>th</sup> - Indenter contact depth at F(max) h(c) (nm)</p> <p>5<sup>th</sup> – Maximum force (mN)</p> <p>6<sup>th</sup> - Indentation hardness H(IT) (GPa)</p> <p>7<sup>th</sup> – Reduced modulus E (GPa)</p>
High versus low energy ion irradiation impact on functional properties of PLD-grown alumina coatings
<p>Set consists two folders named after the methods used to obtained the data i.e. Nanoindentation and SEM.</p> <p><strong>→ SEM </strong></p> <p>In SEM folder there are 3 original image files that make up Figure 3 in the paper. Based on the filenames, they are clearly identifiable.</p> <p><strong>→ Nanoindentation</strong></p> <p>To each material state (dpa level) and energy (high – HE or low - LE) there is one .txt file assigned. Each file is named ‘[HE/LE] [dpa level] L-D.txt’ and contains Load-displacement data. In such a file there are two columns, where 1<sup>st</sup> is displacement (nm) and 2<sup>nd</sup> is force (mN). Single curves are arranged one under another (separated with two empty rows). The curves where used to make up Figure 5.</p>
Supporting Data and Code for "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer"
<p>Supporting Data and Code for the paper "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer". </p> <p>Navigate to wen16/ then pip install -r requirements.txt<br>To generate all the plots/data run plots_and_data.ipynb</p>
Microgram Barium Chloride Ablation Targets for Trapped Ion Experiments
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Interactions of the Ionic Liquid [C2C1Im][DCA] with Au(111) Electrodes: Interplay between Ion Adsorption, Electrode Structure and Stability
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Supplementary Tables S1-S5 for an article "Square Antiprismatic Chelation Is a Key Determinant for Potassium Ion Selectivity"
<p>This file contain tables S1-S5 for the supporting information from the original paper. These tables describe potassium binding sites indentifieid in potassium channels, other membrane proteins and randomly chosen non-membrane proteins. (See the article text for details)</p> <p> </p>
A Stable High-Potential Na7V4(P2O7)4(PO4) Cathode for Sodium-Ion Batteries Developed from a Water-Based Slurry
<p>These are the corresponding raw data related to the publication:</p> <p>A Stable High-Potential Na7V4(P2O7)4(PO4) Cathode for Sodium-Ion Batteries Developed from a Water-Based Slurry</p> <p> </p> <p>Ruihao Gong,<sup>+a</sup> Fabio Maroni,<sup>+a</sup> Mario Marinaro<sup>*a</sup></p> <p> </p> <p><sup>a</sup>Zentrum für Sonnenenergie- und Wasserstoff- Forschung, Baden-Württemberg (ZSW)</p> <p>Helmholtzstraße 8 - 89081 Ulm, Germany</p> <p> </p> <p><sup>+</sup>: The authors contribute equally to this study.</p> <p>*: Corresponding: <a href="mailto:mario.marinaro@zsw-bw.de">mario.marinaro@zsw-bw.de</a></p> <h3> </h3>
Quantitative analysis techniques for evaluating the reliability of Li-ion battery challenges and solutions
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Thermal modeling of a high-energy prismatic lithium-ion battery cell and module based on a new thermal characterization methodology
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State of Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy and Backpropagation Neural Network
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Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications
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A novel liquid cooling plate concept for thermal management of lithium-ion batteries in electric vehicles
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A comparative study between air cooling and liquid cooling thermal management systems for a high-energy lithium-ion battery module
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Multi-objective particle swarm optimization and training of datasheet-based load dependent lithium-ion voltage models
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Molecular dynamics simulation of a pentameric ligand-gated ion channel DeCLIC
<p>Molecular dynamics simulation trajectories, parameter files for a bacterial pentameric ligand-gated ion channel DeCLIC, in the system with 150mM CaCl2 or NaCl2.</p>
Experimental and numerical thermal analysis of a lithium-ion battery module based on a novel liquid cooling plate embedded with phase change material
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Development of equivalent circuit model for state of power estimation of NMC-based Li-ion cell
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Model Development for State-of-Power Estimation of Large-Capacity Nickel-Manganese-Cobalt Oxide-Based Lithium-Ion Cell Validated Using a Real-Life Profile
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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.