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125 results for “quantum dots”
Biexciton Blinking in CdSe-Based Quantum Dots
<p>Data and vector images for main-text figures of S.J.W. Vonk & F.T. Rabouw, Biexciton blinking in CdSe-Based quantum dots, <em>J. Phys. Chem. Lett.</em> <strong>14</strong>, 5353–5361 (2023).</p>
Data repository accompanying "Rapid microwave-only characterization and readout of quantum dots using multiplexed gigahertz-frequency resonators"
<p>Data repository including raw data and analysis scripts used for generating the figures appearing in the paper 'Rapid microwave-only characterization and readout of quantum dots using multiplexed gigahertz-frequency resonators'</p>
Data and code for "Realization of a minimal Kitaev chain in coupled quantum dots"
<p>This folder contains the raw data and code used to generate the plots for the paper <em>Realization of a minimal Kitaev chain in coupled quantum dots</em> (arXiv: 2206.08045).</p> <p>To run the Jupyter notebook, install Anaconda and execute:</p> <pre><code class="language-bash">conda env create -f env.yml</code></pre> <p>followed by:</p> <pre><code class="language-bash">conda activate pmm-paper</code></pre> <p>Finally,</p> <pre><code class="language-bash">jupyter notebook</code></pre> <p>to launch the notebook.</p> <p>Raw data are stored in netCDF (.nc) format. The files are exported by the data acquisition package QCoDeS and can be read as an xarray Dataset.</p>
GaAs quantum dots under quasi-uniaxial stress: experiment and theory (raw data)
<p>Here is the raw data of "GaAs quantum dots under quasi-uniaxial stress: experiment and theory ", we share this data to researchers aroud the world to test their theoretical models with our experimental data. The data contains two parts: the first one is AFM image of nano-holes on AlGaAs, which can be treated as the morphology of GaAs QDs studied in this work. The second part contains two typical polarization spectra of quantum dots under different stress. Meanwhile the polarization spectra of bulk GaAs on top of quantum dots are provided to estimate the stress precisely. </p>
Theoretical analysis of four-wave mixing on semiconductor quantum dot ensembles with quantum light
<p>Dataset of the publication "Theoretical analysis of four-wave mixing on semiconductor quantum dot ensembles with quantum light" H. Rose, S. Grisard, A. V. Trifonov, R. Reichhardt, M. Reichelt, M. Bayer, I. A. Akimov, and T. Meier, Proc. SPIE 12419, Ultrafast Phenomena and Nanophotonics XXVII, 124190H (2023). ( <a href="https://doi.org/10.1117/12.2647700">https://doi.org/10.1117/12.2647700</a> ). The zip file includes the data on which the plots shown in figures 1 and 2 are based.</p>
Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain
<p>Raw data and code for the experimental data of "Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain"</p> <p>The ipython notebook contains code for labeling the QD-QD measurements with Delta/t ratio's. </p>
Random bitstring generated by using quantum-dot based RNG
<p>Random bitstring used in the manuscript of "Randomnhess enhancement is a quantum dot-based quantum random number generator by corrector functions"</p>
Proximity superconductivity in atom-by-atom crafted quantum dots
<p>This .zip file includes all raw data measured on quantum dots presented in the paper as well as Source Data for the main figures.</p>
Data and analysis accompanying the paper "Shuttling an electron spin through a silicon quantum dot array"
<p>Raw data and analysis scripts to reproduce the analysis for the figures of the paper "Shuttling an electron spin through a silicon quantum dot array". Analysis scripts are written in python and require the package QCoDeS.</p> <p>Zwerver, A.M.J., et al. ArXiv:2209.000920v2</p>
Data for 'Exciton transport in a germanium quantum dot ladder' by Tzu-Kan Hsiao et al.
<p>Data for 'Exciton transport in a germanium quantum dot ladder' by Tzu-Kan Hsiao et al.</p>
Research data for "Cavity-enhanced single-shot readout of a quantum dot spin within 3 nanoseconds"
<p>The datasets presented here contain the underlying data used to create the figures for the publication "Cavity-enhanced single-shot readout of a quantum dot spin within 3 nanoseconds." The data is formatted in Matlab data (.mat) files, with the name indicating which figure the data corresponds to.</p> <p>The publication is available at the following address: https://www.nature.com/articles/s41467-023-39568-1</p> <p>We note that for our spin readout experiments, the elapsed readout time is always defined relative to the start of the readout pulse.</p>
Data from: High-performance resistive humidity sensor based on Ag nanoparticles decorated with graphene quantum dots
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Redefining Near-Unity Luminescence in Quantum Dots with Photothermal Threshold Quantum Yield
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FIGURE 2 from paper JVST-B "Formation of CdSe quantum dots from single source precursor obtained by thermal and laser treatment"
<p>The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 2.</p> <p>In the following is reported the description of figure 2 as wrote in the paper.</p> <p>Absorption and PL spectra (dashed and straight lines, respectively) of the films produced (a) without any ligand, (b) with OA, and (c) with OAm.</p>
Data from: Photocatalytic Inactivation of E. coli under UV Light Irradiation using Large Surface Area Anatase TiO2 Quantum Dots
In this study, high specific surface area of anatase TiO2 quantum dots were successfully synthesized through a novel one-step microwave-hydrothermal method in rapid synthesis time (20 min) without further heat treatment. XRD analysis and HR-TEM images showed that the as-prepared TiO2 quantum dots of ~2 nm size have high crystallinity with anatase phase. Optical properties showed that the energy band-gap (Eg) of as-prepared TiO2 quantum dots was 3.60 eV, which is higher than the standard TiO2 bandgap, which might be due to the quantum size effect. Raman studies showed shifting and broadening of the peaks of TiO2 quantum dots due to the reducing of the crystallite size. The obtained BET specific surface area (381 m2/g) of TiO2 quantum dots is greater compared to the surface area (181 m2/g) of commercial TiO2 nanoparticles. The photocatalytic activities of TiO2 quantum dots were conducted by the inactivation of E. coli under ultraviolet light irradiation and compared with commercially available anatase TiO2 nanoparticles. The photocatalytic inactivation ability of E. coli was estimated to be 91% at 60 μg/ml for TiO2 quantum dots, which is superior to the commercial TiO2 nanoparticles. Hence, the present study provides new insight into the rapid synthesis of TiO2 quantum dots without any annealing treatment to increase the absorbance of ultraviolet light for superior photocatalytic inactivation ability of E. coli.
Data from: Using quantum dots as pollen labels to track the fates of individual pollen grains
1. Despite a long history of significant advances in understanding natural selection and evolution, the field of plant reproductive biology has largely studied plant mating without directly tracking pollen movement due to a lack of suitable pollen-tracking methods. 2. Here, we develop and test a novel pollen-tracking technique using quantum dots as pollen-grain labels. Quantum dots are semiconductor nanocrystals that are so small, they behave like atoms. When exposed to UV light, they emit extremely bright light in both visible and infrared wavelengths We tested the suitability of non-toxic CuInSexS2-x/ZnS (core/shell) quantum dots with oleic acid ligands as pollen-grain labels.Using a micropipette, we dispensed quantum dots dissolved in hexane in minute volumes (0.15–0.5 µl) directly onto dehisced anthers of four different plant species from four different families [Wachendorfia paniculata (Haemodoraceae), Sparaxis villosa (Iridaceae), Arctotheca calendula (Asteraceae), Oxalis purpurea (Oxalidaceae)]. 3. After application, the hexane solvent evaporated immediately, leaving behind quantum dots that remained attached to pollen grains of the four different plant species even after agitation in a polar solvent. This suggests a lipophilic interaction between oleic-acid ligands on quantum dots, and pollenkitt surrounding pollen grains. We also showed that most pollen grains within anthers of the same four plant species were labelled with quantum dots after applying a volume of quantum-dot solution sufficient to cover an individual anther. To test whether quantum-dot pollen-labels influenced pollen transport, we conducted pollen transfer trials (one donor, ten sequential recipients) on S. villosa using captively-reared honey bees to ensure bees were free of external pollen prior to experiments. We found no difference in pollen transport to recipients from donor flowers with labelled or unlabelled pollen grains. 4. We demonstrate that quantum dots can be used as pollen labels allowing subsequent tracking of pollen fates. This method is relatively inexpensive (<$500 for equipment and ca. $0.02 per labelled anther thereafter) and can be simply and directly applied to anthers of most flowers in the lab and field. The ability to track pollen grain movement in situ, may help to address an historically neglected aspect of plant reproductive ecology and evolution.
Data from: Graphene quantum dots as nanoprobes for fluorescent detection of propofol in emulsions
We report a new fluorescent detection method for propofol based on graphene quantum dots (GQDs). Citric acid (CA) was selected as the carbon precursor, and fluorescent GQDs were prepared by carbonizing CA. The product, which efficiently quenched the fluorescence of GQDs, could be obtained through the oxidation of propofol in the presence of horseradish peroxidase (HRP) and hydrogen peroxide (H2O2). The fluorescence intensity ratio of GQDs (F/F0) was positively correlated with the concentration of propofol, which ranged within 5.34–89.07 mg L-1, the limit of detection (LOD) was 0.5 mg L-1, the limit of quantity (LOQ) was 5.34 mg L-1. The developed fluorescence method reported in the present study is simple, sensitive, reproducible, and can serve in determining propofol contents in emulsions.
Quantum Dots Array on Ultra-Thin SOI Nanowires with Ferromagnetic Cobalt Barrier Gates for Enhanced Spin Qubit Control
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Application of sulfur and nitrogen doped carbon quantum dots as sensitive fluorescent nanosensors for the determination of saxagliptin and gliclazide
<p>In this study, highly fluorescent sulfur and nitrogen doped carbon quantum dots (S,N-CQDs) were used as fluorescent nanosensors for direct spectrofluorimetric estimation of each of gliclazide and saxagliptin without any pre-derivatization steps for the first time. S,N-CQDs were synthesized employing a simple hydrothermal technique using citric acid and thiosemicarbazide. The produced S,N-CQDs were characterized using different techniques including fluorescence emission spectroscopy, UV spectrophotometry, high resolution transmission electron microscopy, and FT-IR spectroscopy. Following excitation at 360 nm, S,N-CQDs exhibited a strong emission peak at 430 nm. The native fluorescence of S,N-CQDs was quantitatively enhanced by addition of increased concentrations of the studied drugs. The fluorescence enhancement of S,N-CQDs and the concentrations of the studied drugs revealed a wide linear relationship in the range of 30.0-500.0 μM and 75.0-600.0 µM with limits of detection of 5.0 μM and 10.15 µM for gliclazide and saxagliptin, respectively. The proposed method was efficiently utilized for determination of cited drugs in their commercial tablets with % recoveries ranging from 98.6 to 101.2% and low % RSD values (less than 2%). The mechanism of interaction between S,N-CQDs and the two drugs was studied. Validation of the proposed method was carried out in accordance with ICH guidelines.</p>
Variable and orbital-dependent spin-orbit field orientations in a InSb double quantum dot characterized via dispersive gate sensing
<p>Data and Codes for the manuscript.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.