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 multiscale modeling.
Wildfire indices and high-resolution climate models combine to produce a detailed historical analysis of wildfire events across the U.S. and suggest the potential for more severe and frequent fires in the latter half of the century.
With the world’s most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy.
Argonne researchers receive HPC Innovation Excellence Award for foundational simulation data and analysis techniques. The work helped AT&T develop a tool to evaluate impacts of flooding on critical infrastructure at scales previously unattainable.
While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.