Argonne National Laboratory

Scientific Data Management

Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to scientific data management.

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  • Murat Keceli

    Murat has experience in developing & implementing scalable methods related to electronic & vibrational structure of molecules & extended systems. He has interest in applying deep learning methods for accurate calculations of thermochemical properties.

  • Adrian C. Pope

    Adrian is a physicist, astronomer, and computational scientist working at the intersection of data, computing, and statistical methods for cosmological inference.