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647 results for “Silicon”
Figures of merit that characterize silicon gate-all-around nanowire FETs affected by line edge roughness variability
<p>Off-current, threshold voltage, sub-threshold slope and on-current values for two silicon gate-all-around nanowire FETs affected by line edge roughness (LER) variability, a 22 nm gate length device and a 10 nm gate length one. The LER profile that characterizes the roughness deformation is also included in the dataset. Different correlation length (CL) and root mean square (RMS) heights values are characterized.</p>
Dataset for Interfacial Chemistry Effects in the Electrochemical Performance of Silicon Electrodes under Lithium-ion Battery Conditions
<p>This dataset provides the raw data to the manuscript</p> <p>"<strong>Interfacial Chemistry Effects in the Electrochemical Performance of Silicon Electrodes under Lithium-ion Battery Conditions"</strong> published in Small (<a href="https://doi.org/10.1002/smll.202303442">https://doi.org/10.1002/smll.202303442</a>)</p> <p>Specifically, the following measurements are provided:</p> <ul> <li>Scanning electrochemical cell microscopy (SECCM) data</li> <li>Scanning electron microscopy (SEM) images</li> <li>Secondary ion mass spectrometry (SIMS) data</li> <li>Transmission electron microscopy (TEM) images</li> <li>X-ray photoelectron spectroscopy (XPS) data</li> </ul>
Data for "Two-stage, low noise quantum frequency conversion of single photons from silicon-vacancy centers in diamond to the telecom C-band"
<p>The silicon-vacancy center in diamond holds great promise as a qubit for quantum communication networks. However, since the optical transitions are located within the visible red spectral region, quantum frequency conversion to low-loss telecommunication wavelengths becomes a necessity for its use in long-range, fiber-linked networks. This work presents a highly efficient, low-noise quantum frequency conversion device for photons emitted by a silicon-vacancy (SiV) center in diamond to the telecom C-band. By using a two-stage difference-frequency mixing scheme SPDC noise is circumvented and Raman noise is minimized, resulting in a very low noise rate of 10.4(7) photons per second as well as an overall device efficiency of 35.6 %. By converting single photons from SiV centers we demonstrate the preservation of photon statistics upon conversion.</p>
Decoupling silicon metabolism from carbon and nitrogen assimilation poises diatoms to exploit episodic nutrient pulses in a coastal upwelling system
Open the record for dataset details and reuse information.
Silicon concentrations and stoichiometry in two agricultural watersheds: implications for management and downstream water quality
Agriculture alters the biogeochemical cycling of nutrients such as nitrogen (N), phosphorus (P), and silicon (Si) which contributes to the stoichiometric imbalance among these nutrients in aquatic systems. Limitation of Si relative to N and P can facilitate the growth of non-siliceous, potentially harmful, algal taxa which has severe environmental and economic impacts. Planting winter cover crops can retain N and P on the landscape, yet their effect on Si concentrations and stoichiometry is unknown. We analyzed three years of biweekly concentrations and loads of dissolved N, P, and Si from subsurface tile drains and stream water in two agricultural watersheds in northern Indiana. Intra-annual patterns in Si concentrations and stoichiometry showed that cover crop vegetation growth did not reduce in-stream Si concentrations as expected, although, compared to fallow conditions, winter cover crops increased Si:N ratios to conditions more favorable for diatom growth. To assess the risk of non-siliceous algal growth, we calculated a stoichiometric index to quantify biomass growth facilitated by excess N and P relative to Si. Index values showed a divergence between predicted algal growth and what we observed in the streams, indicating other factors influence algal community composition. The stoichiometric imbalance was more pronounced at high flows, suggesting increased risk of harmful blooms as climate change increases the frequency and intensity of precipitation in the midwestern U.S. Our data include some of the first published measurements of Si within small agricultural watersheds and provide the groundwork for understanding the role of agriculture on Si export and stoichiometry.
Silicon content of canopy foliage along an elevation gradient near W6 at the Hubbard Brook Experimental Forest, 1998-2008
Leaf tissue was collected for the three dominant tree species; sugar maple (Acer saccharum Marsh.), American beech (Fagus grandifolia Erhr.), and yellow birch (Betula alleghaniensis Britt.) at the full-grown stage in August of each year. Individual leaves were collected from manually cut branches throughout the canopies of trees at different elevations in the Bear Brook area west of, and representative of, W6. Fifteen trees (five per species in the low, middle and high elevation zones) were sampled each year from 1998-2008. Leaf samples were handled with nitrile gloves at all stages. The leaf samples were composited by species, dried (60C) and ground (mortar and pestle) before analysis. Total biogenic silicon (SiO2) content was measured for every second year using a single-step chemical extraction. Measurements were aimed to estimate annual Si uptake, and standing Si stocks in living biomass for northern hardwood forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Research data supporting "Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy"
<p>Research data supporting the publication: Stock, T. J. Z, <em>et. al.</em>, <strong>2020</strong>, Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy, <em>ACS Nano</em>, https://dx.doi.org/10.1021/acsnano.9b08943</p>
Dataset related to the publication "Nanocrystalline silicon optomechanical cavities", DOI: 10.1364/OE.26.009829
<p>This folder contains the raw data from which the graphs in paper "Nanocrystalline silicon optomechanical cavities", DOI: 10.1364/OE.26.009829, have been obtained.</p>
Silicon-29 Magic-Angle Flipping Nuclear Magnetic Resonance dataset for Na2O•1.5SiO2 glass
<p>Raw and processed silicon-29 Magic-Angle Flipping Nuclear Magnetic Resonance dataset for Na2O•1.5SiO2 glass from the publication "Silicon site distributions in an alkali silicate glass derived by two-dimensional Si-29 nuclear magnetic resonance" in <a href="https://doi.org/10.1021/jp9700342">J. Non-Cryst. Solids, 204, 294 (1996)</a>, by P. Zhang, C. Dunlap, P. Florian, P. J. Grandinetti, I. Farnan, and J. F. Stebbins.</p> <p>Details of the csdf dataset format are given in <a href="https://doi.org/10.1371/journal.pone.0225953"><em>PLOS ONE,</em> 15(1): e0225953 (2020)</a>, "Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data," D. Srivastava, T. Vosegaard, D. Massiot, and P.J. Grandinetti. The data within csdf files can be accessed with the Python package <a href="https://csdmpy.readthedocs.io/en/stable">csdmpy</a>, or other CSDM-compliant software.</p>
The Influence of Glacial Cover on Riverine Silicon and Iron Exports in Chilean Patagonia
<p>Data linked to manuscript 'The Influence of Glacial Cover on Riverine Silicon and Iron Export in Chilean Patagonia; <em>Global Biogeochemical Cycles</em>' </p>
Short-term resistance that persists: Rapidly induced silicon anti-herbivore defence affects carbon-based plant defences
<p><b>1. </b>Silicon (Si) is known to alleviate diverse biotic and abiotic stresses including insect herbivory.<b> </b>Si accumulation in plants, notably the Poaceae, can be induced through stimulation of the jasmonic acid (JA) pathway (associated with chewing herbivores). Nevertheless, the temporal dynamics of Si accumulation as a defence response and its consequential effects on carbon-based defences (e.g. phenolics), particularly in the short-term, remain unclear.</p> <p><b>2. </b>The model grass <i>Brachypodium distachyon</i> was grown in a hydroponic solution where half the plants were supplemented with 2 mM potassium silicate and half had no Si supplied. Plants were treated with methyl jasmonate (MeJA) as a form of standardised simulated herbivory. We measured Si accumulation, the phytohormones JA and salicylic acid (SA), and carbon-based defences over 24 hours to determine the temporal dynamics of Si accumulation and the interplay between Si, simulated herbivory and plant defence machinery.</p> <p><b>3. </b>MeJA-induced Si accumulation occurred as early as 6 hours after treatment via increased JA concentrations. Si supplementation decreased SA concentrations, which could have implications on additional downstream defences. We show a trade-off between Si and phenolics in untreated plants, but this relationship was weakened upon MeJA treatment. Further, this trade-off did not apply to phenolic precursor compounds such as phenylalanine.</p> <p><span><b>4. </b>We provide evidence for rapidly induced Si accumulation associated with herbivory, and that increased Si accumulation impacts on phytohormones and carbon-based defences over a 24-hour period. Additionally, herbivory modifies the relationship between Si- and carbon-based defences. Thus, in addition to its well-documented role as a long-term defence against herbivores, we demonstrate that, over short-term temporal scales, Si accumulation responds to herbivore signals and impacts on plant defence machinery. </span></p>
Dataset and simulation files for article: "Designing of strongly confined short-wave Brillouin phonons in silicon waveguide periodic lattices"
<p>Dataset and simulation files for article: "Designing of strongly confined short-wave Brillouin phonons in silicon waveguide periodic lattices"</p>
Data from: Hybrid Integration of Silicon Photonic Devices on Lithium Niobate for Optomechanical Wavelength Conversion
<p>Source data for Figures.</p>
Figures and datasets of paper titled "Phosphorous diffusion gettering of trapping centers in upgraded metallurgical-grade solar silicon"
<p>Datasets and figures of paper titled "Phosphorous Diffusion Gettering of Trapping Centers in Upgraded Metallurgical-Grade Solar Silicon" published in arXiv (<a href="http://arxiv.org/abs/2101.07145">http://arxiv.org/abs/2101.07145</a>)</p>
Assessment of error variation in high-fidelity two-qubit gates in silicon
<p>The data and the analysis files for the paper titled: "Assessment of the errors of high-fidelity two-qubit gates in silicon quantum dots" https://arxiv.org/abs/2303.04090 Analysis files written in python and in matlab. Some files need the PyGSTi to run.</p>
Datasets for "Ultra-narrow inhomogeneous spectral distribution of telecom-wavelength vanadium centres in isotopically-enriched silicon carbide"
<p>Datasets supporting the paper: "Ultra-narrow inhomogeneous spectral distribution of telecom-wavelength vanadium centres in isotopically-enriched silicon carbide" by P. Cilibrizzi et al.</p><p> </p><p>The files are named as date_time_+"PLE_scan_"+frqInitial_polarisation_frqEnd_signal. For example, the file "2022-12-20_17_07_PLE_scan_234420059_MHz_sigma_P_234419877_MHz_X" is taken on teh 20th of December 2022, starting at 17:07pm. The wavelength of the excitation laser is measured by the wavemeter at the beginning of data acquisition to be 234,420,059 MHz. At the end of the map, the laser wavelength is 234,419,877 MHz. The quantity stored in the file is "X", corresponding to the values of the x-axis for the spatial scan.</p><p>Possible quantities are<br>X: values of the x-axis for the spatial scan (in microns)<br>Y: values of the y-axis for the spatial scan (in microns)<br>Z: number of photon counts</p><p> </p>
Replication Data for "Inverse-designed low-index-contrast structures on silicon photonics platform for vector-matrix multiplication"
<p>COMSOL files and Python post-processing code.</p>
The temperature profile on a silicon-patterned membrane - Fig.3 Dataset
<p>This is the data set used to generate Fig.3 in the paper https://doi.org/10.1103/PRXQuantum.4.040314</p>
Supporting data for Bryłka et al., 2023 Gene duplication, shifting selection, and functional diversification of silicon transporter proteins in marine and freshwater diatoms.
<p>These are supporting files used in the analysis in Bryłka et al., 2023 "<em>Gene duplication, shifting selection, and functional diversification of silicon transporter proteins in marine and freshwater diatoms". </em> All data newly generated from the Alverson lab.</p> <p> </p>
Temperature-dependent photo-elastic coefficient of silicon at 1550 nm
<p>The associated paper presents a study on the temperature-dependent photo-elastic coefficient in single-crystal silicon with (100) and (110) orientations at a wavelength of 1550 nm. The measurement of the photo-elastic coefficient was performed using a polarimetric scheme across a wide temperature range from 5 K to 300 K. The experimental setup employed high-sensitivity techniques and incorporated automatic beam path correction, ensuring precise and accurate determination of the coefficient's values. The results show excellent agreement with previous measurements at room temperature, specifically yielding a value of dn/dσ = −2.463E-11 1/Pa for the (100) orientation. Interestingly, there is a significant difference in photo-elasticity between the different crystal orientations of approximately 50 %. The photo-elastic coefficient's absolute value increases by approximately 40 % with decreasing temperature down to 5 K. These findings provide valuable insights into the photo-elastic properties of silicon and its behavior under varying mechanical stress, particularly relevant for optomechanical precision experiments like cryogenic gravitational wave detectors and microscale optomechanical quantum sensors.</p>
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