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125 results for “quantum dots”
Demonstration of Microwave Resonators and Double Quantum Dots on Optimized Reverse-Graded Ge/SiGe Heterostructures
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Data for "A Double Quantum Dot Spin Valve"
<p>Data for the publication "A Double Quantum Dot Spin Valve"</p>
A Universal Database of Surface Ligands for Quantum Dots
<p>We introduce a public database of organic molecules, derived by an advanced filtering of the PUBCHEM database, with the aim of building a subset of surface ligands candidates that are potentially suitable to passivate the surface of any colloidal QD. For each ligand in the database, we additionally provide relevant chemical and physical properties, from the boiling and melting points to more specific properties that account for the interactions with the solvent and amongst ligands themselves at the QD surface.</p> <div> </div> <p>The “smiles to filter” scanning process, excluding (or including) a set of molecules based on structural characteristics like their functional groups was performed using the Python-based library <a href="https://github.com/nlesc-nano/flamingo">Flamingo</a>. The estimation of COSMO-RS (COnductor-like Screening MOdel for Realistic Solvents) [2] properties was carried out by the Fast Sigma program implemented in AMS (Amsterdam Modelling Suite) [3]. The calculations were automatized and managed via the Compound Attachment Tools (<a href="https://github.com/nlesc-nano/CAT">CAT</a>) [4] and sister packages <a href="https://github.com/nlesc-nano/nano-CAT">nano-CAT</a> and <a href="https://github.com/nlesc-nano/data-CAT">data-CAT</a>. The calculations of the cone angle are currently performed via the <a href="https://github.com/nlesc-nano/nano-CAT">nano-CAT</a> code and preceded by a biased conformational search implemented in <a href="https://github.com/nlesc-nano/CAT">CAT</a> and by a geometry optimization at the DFTB level of theory with the GFN1-xTB parameter set [5] using AMS and will be progressively added to the dataset as they become available.</p> <p>[1] Kim S et al., Nucleic Acids Res., 49(D1):D1388–D1395, 2021.</p> <p>[2] Klamt A. et al., J. Phys. Chem., 99(7) : 2224–2235, 1995.</p> <p>[3] te Velde G. et al., J. Comput. Chem., 22(9): 931–967, 2001.</p> <p>[4] van Beek B. et al., J. Chem. Inf. Model. 2022, 62, 22, 5525–5535.</p> <p>[5] Grimme S. et al., J. Chem. Theory Comput., 13(5):1989–2009, 2017.</p> <div> </div> <div> </div>
Data Repository - Impact of competing energy scales on the shell-filling sequence in elliptic bilayer graphene quantum dots
<p>Data Repository for the Publication: Impact of competing energy scales on the shell-filling sequence in elliptic bilayer graphene quantum dots</p> <p>Abstract:</p> <p>We report on a detailed investigation of the shell-filling sequence in electrostatically defined elliptic bilayer graphene quantum dots (QDs) in the regime of low charge carrier occupation, N < 12, by means of magnetotransport spectroscopy and numerical calculations. We show the necessity of including both short-range electron-electron interaction and wavefunction-dependent valley g-factors for understanding the overall fourfold shell-filling sequence. These factors lead to an additional energy splitting at half-filling of each orbital state and different energy shifts in out-of-plane magnetic fields. Analysis of 31 different BLG QDs reveals that both valley g-factor and electron-electron interaction induced energy splitting increase with decreasing QD size, validating theory. However, we find that the electrostatic charging energy of such gate-defined QDs does not correlate consistently with their size, indicating complex electrostatics. These findings offer significant insights for future BLG QD devices and circuit designs.</p>
Electrochemical Biosensor Based on Lectin-functionalized Nitrogen, Sulfur-doped Graphene Quantum Dot Decorated Gold Nanoparticles for Breast Cancer Diagnosis: From Academic Research to Clinical Transl
ClinicalTrials.gov study NCT07034248. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Data from: Incorporation of Mn2+ into CdSe quantum dots by chemical bath co-deposition method for photovoltaic enhancement of quantum dot-sensitized solar cells
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Application of sulfur and nitrogen doped carbon quantum dots as sensitive fluorescent nanosensors for the determination of saxagliptin and gliclazide
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Data from: Photocatalytic Inactivation of E. coli under UV Light Irradiation using Large Surface Area Anatase TiO2 Quantum Dots
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Data from: Graphene quantum dots as nanoprobes for fluorescent detection of propofol in emulsions
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Data from: Using quantum dots as pollen labels to track the fates of individual pollen grains
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CoreShellShell, a quantum dot excitonic energy and charge density calculator
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Isolating the Escherichia coli transcriptomic responses to superoxide generation and stress from cadmium chalcogenide quantum dots
GEO Series GSE126008. Escherichia coli. 10 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of the toxic effect of hydroxyl-modified Graphene quantum dots (GQD) on normal human esophageal epithelial cells
GEO Series GSE96720. Homo sapiens. 6 samples. Type: Expression profiling by array.
Source Data of "Coherent control of individual electron spins in a 2D quantum dot array"
<p>Coherent manipulation of individual quantum objects organized in arrays is a prerequisite to any scalable quantum information platform.<br> The cumulated efforts to control electron spins in quantum dot arrays have permitted the recent realization of quantum simulators and multi-electron spin coherent manipulations.<br> While being a natural path to resolve complex quantum matter problems and to process quantum information, the two-dimensional (2D) scaling with high connectivity of such implementations remains undemonstrated.<br> Here, we demonstrate the 2D coherent control of individual electron spins in a 3x3 array of tunnel coupled quantum dots.<br> We focus on several key quantum functionalities: charge deterministic loading and displacement, local spin readout, and local coherent exchange manipulation between two electron spins trapped in adjacent dots.<br> This work lays some of the foundations for exploiting a 2D array of electron spins for quantum simulation and information processing.</p>
Enhancing the excitation gap of a quantum-dot-based Kitaev chain
<p>Code used to produce the numerical results presented in "Enhancing the excitation gap of a quantum-dot-based Kitaev chain" manuscript.</p>
Transcriptional profiling of E. coli cultures exposed to green or red CdTe Quantum Dots 50 µg/ml
GEO Series GSE58912. Escherichia coli; Escherichia coli K-12. 6 samples. Type: Expression profiling by array.
A genome-wide approach in Arabidopsis thaliana to assess the toxicity of cadmium sulfide quantum dots
GEO Series GSE53989. Arabidopsis thaliana. 7 samples. Type: Expression profiling by array.
Whole transcriptome analysis of cadmium sulphide quantum dots response in Saccharomyces cerevisiae
GEO Series GSE125759. Schizosaccharomyces pombe; Saccharomyces cerevisiae. 6 samples. Type: Expression profiling by array.
The influence of inhomogeneities and defects on novel Quantum Well and Quantum Dot based Infrared -emitting Semiconductor Lasers
<p><strong>Semiconductor Science and Technology article.</strong></p> <p>In this paper we discuss the development of new semiconductor materials and approaches to overcome the fundamental limitations of well established (Al,In)GaAs/InP and InGaAsP/InP infrared-emitting lasers. We consider three approaches; dilute-nitride InGaAsN-based structures; InAs-based quantum dot/dash structures and the most recently emerging dilute-bismide (GaAsBi, InGaAsBi), all of which may be grown on either GaAs or InP substrates. These material systems provide a range of possibilities for band engineering and strain control, thereby giving new routes to improve device efficiency, overcoming existing limitations of device performance and to develop range of new cost-efficient devices with improved characteristics. However, all of these approaches have common difficulties related to establishing optimised growth conditions to produce high quality material for device fabrication. Particularly, in this paper we compare and contrast the effects of inhomogeneous carrier distribution in these systems and discuss the influence of this on the physical properties of lasers developed using these approaches.</p> <p>The authors dedicate this paper to the memory of Professor Naci Balkan (Essex) and Professor Jeff Hosea (Surrey) both of whom made significant contributions to the development of new semiconductor materials including the dilute nitrides and bismides as discussed in the paper. We are also pleased to acknowledge the many collaborators who have contributed to the development of the materials and devices considered in this work, including; Tyndall National Institute (Ireland), Philipps-Universität Marburg (Germany), University of Sheffield (UK), Universität Würzburg (Germany), Fujitsu Laboratories Ltd (Japan), Infineon Technologies AG (Germany) and the Center for Physical Sciences and Technology (Lithuania). We gratefully acknowledge funding from EPSRC (grants EP/H005587/1, EP/G064725/1, EP/N021037/1) and the EU-FP7 “BIANCHO” project (FP7-257974).</p>
Intravitreal Quantum Dots (QD) for Advanced Retinitis Pigmentosa (RP) (QUANTUM)
ClinicalTrials.gov study NCT05841862. IPD Sharing: NO. Countries: 0. Publications: 0.
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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)
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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.