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Materials Data creates JADE software used to collect, analyze, and simulate XRD data and solve issues in an array of materials science projects. In 2020, the ICDD and the Cambridge Crystallographic Data Centre, which curates and maintains the Cambridge Structural Database, announced a data partnership.
X-ray diffraction computed tomography is an experimental technique that combines X-ray diffraction with the computed tomography data acquisition approach. X-ray diffraction (XRD) computed tomography (CT) was first introduced in 1987 by Harding et al. [ 1 ] using a laboratory diffractometer and a monochromatic X-ray pencil beam .
Reflection positions and intensities of known crystal phases, mostly from X-ray diffraction data, are stored, as d-I data pairs, in the Powder Diffraction File database. The list of d-I data pairs is highly characteristic of a crystal phase and, thus, suitable for the identification, also called ‘fingerprinting’, of crystal phases. [16]
Ca Zone -> Mainchain - convert an initial trace of the alpha-carbon atoms to a full main-chain trace. Place helix here - fit a sequence of amino acids in alpha helix conformation into density. Place strand here - fit a sequence of amino acids in beta strand conformation into density. Ideal DNA/RNA - build an ideal DNA or RNA fragment.
An X-ray diffraction pattern of a crystallized enzyme. The pattern of spots (reflections) and the relative strength of each spot (intensities) can be used to determine the structure of the enzyme. The relative intensities of the reflections provides information to determine the arrangement of molecules within the crystal in atomic detail.
The most common powder X-ray diffraction (XRD) refinement technique used today is based on the method proposed in the 1960s by Hugo Rietveld. [2] The Rietveld method fits a calculated profile (including all structural and instrumental parameters) to experimental data.
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