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 machine learning.
For a study published in Patterns, researchers developed a predictive framework for zinc blende semiconductors and impurity atoms from across the periodic table.
Marieme Ngom, a postdoctoral appointee in the Mathematics and Computer Science (MCS) division at Argonne National Laboratory, was selected to attend the Rising Stars in Computational and Data Science event, April 20–21, 2022, in Albuquerque, NM.