Showing 4 open source projects for "ofn-extract-objects.py"

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  • 1
    ALAMODE

    ALAMODE

    Ab initio simulator for thermal transport and lattice anharmonicity

    ALAMODE is designed for analyzing lattice anharmonicity and lattice thermal conductivity of solids. By using an external DFT package such as VASP and Quantum ESPRESSO, you can extract harmonic and anharmonic force constants straightforwardly with ALAMODE. Using the anharmonic force constants, you can also calculate lattice thermal conductivity from first principles. For more information about ALAMODE, please visit the following webpages: Documentation : http://alamode.readthedocs.io/en...
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    Downloads: 18 This Week
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  • 2
    GrainSizeTools script

    GrainSizeTools script

    A Python script for estimating the grain size from thin sections

    Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the...
    Downloads: 0 This Week
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  • 3
    --- IMPORTANT : This project has been moved to GitHub at https://github.com/clstoulouse/motu-client-python. Download the last version from the release page https://github.com/clstoulouse/motu-client-python/releases. --- Motu is a high efficient and robust Web Server which fills the gap between heterogeneous Data Providers to End Users. Motu handles, extracts and transforms oceanographic huge volumes of data without performance collapse. This client enables to extract and download...
    Downloads: 1 This Week
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  • 4
    Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)
    Downloads: 0 This Week
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