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This tool uses the DAKOTA software package to perform deterministic and Bayesian calibration. The default example is a calibration of a Sutton-Chen EAM potential, given a 'ground truth' dataset. Users can upload their own dataset and modify the Jupyter notebook to run a calibration of interest.
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