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6 results for “Nanoelectronics”
Progress in Cooling Nanoelectronic Devices to Ultra-Low Temperatures
<p>Supporting data for</p> <p>"Progress in cooling nanoelectronic devices to ultra-low temperatures"</p> <p>A. T. Jones, C. P. Scheller, J. R. Prance, Y. B. Kalyoncu, D. M. Zumbühl, and R. P. Haley</p> <p><em>J Low Temp Phys</em> (2020). https://doi.org/10.1007/s10909-020-02472-9</p>
Dataset for 'Unveiling the charge distribution of a GaAs-based nanoelectronic device'
<p>*********************************************************<br> This repository contains the raw experimental data associated with the manuscript<br> "Unveiling the charge distribution of a GaAs-based nanoelectronic device: A large experimental data-set approach"<br> by Eleni Chatzikyriakou, Junliang Wang et al.<br> See Arxiv:2205.00846 for more details. <br> *********************************************************</p> <p>***************************************<br> Content of the different data files<br> ***************************************</p> <p>The data are stored in 5 different files in the csv format.</p> <p>* data_1D_4K.csv: current versus gate voltage data for all the samples at 4K. <br> The same gate voltage is applied on the Top and bottom gates.</p> <p>For sample X1Y3, X2Y3, X5Y3 and X6Y3 some additional measurements have been realised :</p> <p>* data_1D_mk.csv : top and bottom gates of each QPC have been swept at the same time at 50 mK temperature.</p> <p>* data_2D_4K_TB.csv : top gate has been swept for different values of the bottom gate at 4K.<br> * data_2D_mK_TB.csv : top gate has been swept for different values of the bottom gate at 50 mK temperature.<br> * data_2D_mK_BT.csv : bottom gate has been swept for different values of the top gate at 50 mK temperature.</p> <p>***********************************<br> Format of the csv files<br> ***********************************</p> <p>--- All the data files are in the following format. </p> <p>* A given curve "current versus gate voltage" is stored in two consecutive raws. The first one contains the value of the measured current, the second one contains the values of the applied<br> gate voltages.</p> <p>* A 2D measurement "current versus top gate and bottom gate" is stored in three consecutive raws. The first one contains the value of the measured current, the second one contains the list of values of voltage applied on one of the gate. The third third raw contains the list of values of voltage applied on the other gate.</p> <p>--- Each row of a csv file has the following format: </p> <p>* The first column identifies the quantum point contact and the quantity. The format is Xx_Yy_QpcNb_Meas.<br> - Xx is the column on the chip (from X1 to X6).<br> - Yy is the row on the chip (Y1, Y2 or Y3).<br> - QpcNb is the number of the qpc (from 1 to 8 or from 9 to 16).<br> - Meas is the reported quantity, either the (measured) "current" or the (applied) "voltage"<br> or the "TopVoltage" or "BotVoltage" for 2D scans.</p> <p>* The second column is the unit (A or V).</p> <p>* The third column is the number of sweeps (1, 2 or 3) performed. <br> For some measurements, the same sweep has been done multiple times.</p> <p>* The fourth column is the design of the quantum point contact (A, B, C, D or E).</p> <p>* All the following columns contain the measured value. For 2D scans the different values of the gate corresponding to the third raw are placed one after the other.</p> <p>*******************************<br> Python scripts for data analysis<br> *******************************</p> <p>For convenience, we provide an example python scripts that can be used to load the data and plot them.</p> <p>extract.py : Extracts the data into a dictionary and plots the I-V characteristics<br> extract.ipynb : jupyter notebook using the different functions of extract.py</p> <p>type -h for help</p>
Research on characteristic properties of ASiGe nanoribbons materials for nanoelectronics and optoelectronics applications
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Single-electron spin resonance in a nanoelectronic device using a global field
<p><span class="pre-line-wrapping ng-binding">Spin-based silicon quantum electronic circuits offer a scalable platform for quantum computation, combining the manufacturability of semiconductor devices with the long coherence times afforded by spins in silicon. Advancing from current few-qubit devices to silicon quantum processors with upwards of a million qubits, as required for fault-tolerant operation, presents several unique challenges, one of the most demanding being the ability to deliver microwave signals for large-scale qubit control. Here we demonstrate a potential solution to this problem by using a three-dimensional dielectric resonator to broadcast a global microwave signal across a quantum nanoelectronic circuit. Critically, this technique utilizes only a single microwave source and is capable of delivering control signals to millions of qubits simultaneously. We show that the global field can be used to perform spin resonance of single electrons confined in a silicon double quantum dot device, establishing the feasibility of this approach for scalable spin qubit control.</span></p>
Single-electron spin resonance in a nanoelectronic device using a global field
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Flexible Nanoelectronics Show Reduction of Arrhythmogenesis in Transplanted Human Cardiomyocytes
GEO Series GSE289054. Homo sapiens/Rattus norvegicus xenograft. 16 samples. Type: Other.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.