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.
An extensive collaboration led by Argonne recently won the Inaugural SCinet Technology Challenge at the Supercomputing 19 conference by demonstrating real-time analysis of light source data from Argonne’s APS to the ALCF.
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.