%0 Generic
%A Bouwmeester, Damian
%D 2024
%T Data underlying the PhD thesis: "Superconducting contacts for atomically precise graphene nanoribbons"
%U 
%R 10.4121/0240a853-27a0-47fe-8270-c346f0288580.v1
%K Graphene nanoribbon
%K Superconductivity
%K Superconducting proximity effect
%K Proximity effect
%K Nanotechnology
%K Josephson junction
%K Electromigration
%K Electromigration break junction
%K SNS junction
%K Field effect transistor
%X <p>QCoDeS databases and .txt/.dat data files underlying the PhD thesis "Superconducting contacts for atomically precise graphene nanoribbons".</p><p>The thesis consists of electrical measurements on graphene nanoribbon field effect transistors (FETs) and superconductor-normal metal-superconductor (SNS) junctions.</p><p><br></p><p>The data is organised per chapter. All measurements performed are electrical measurements in which either a voltage or a current is measured as a function of independent parameters (bias voltage, bias current, temperature, magnetic field, etc.). For each set of independent parameter values, the dependent parameter is registered.</p><p><br></p><p><strong>Types of data included:</strong></p><ul><li>QCoDeS databases (.db files) can be opened using a python installation with QCoDeS installed. The database contains datasets, as well as metadata for each measurement. See "https://qcodes.github.io/Qcodes/" for instructions on how to read these database files. All units used are standard SI (V, A, K, T)</li><li>.dat files (in Chapter 1 only) are text files containing single measurements that can be opened with notepad, notepad++ and other text editing software, or imported in Python using numpy's <em>genfromtxt</em> command: https://numpy.org/doc/stable/reference/generated/numpy.genfromtxt.html</li><li>Also included: folders of (SEM and optical microscopy) image data (.png, .tiff, .bmp).</li><li>Still to be included: folders with data analysis scripts for reproduction of thesis figures</li></ul><p><br></p><p><strong>Three folders per chapter:</strong></p><ol><li>Data</li><li>Images (unedited images. Edited versions (zoomed in and/or enhanced contrast) in thesis)</li><li>Scripts (data analysis)</li></ol><p><br></p><p>Data analysis scripts can be run in a jupyter notebook capable python environment in which QCoDeS is installed in order to produce the figures in the thesis. (I recommend an anaconda installation with jupyter, qcodes and/or kwant installed in an environment)</p><p>For the tight binding simulations in the thesis, a python environment with kwant should be installed: See "https://kwant-project.org/".</p><p><br></p><p><br></p><p><br></p>
%I 4TU.ResearchData