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 computational science.
In a npj Computational Materials paper, scientists report having developed a reinforcement learning-based model that captures the structure, energetics, density, equation of state, and elastic constants of silica polymorphs.