Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...

A CSGF fellow doggedly applies computational models to COVID-19 and cancer. A molecular representation of the delta SARS-CoV-2 all-atom model. Spike proteins are colored in cyan; viral membrane ...

A UCSD fellow’s geodynamic model offers answers to stubborn questions about Venus’ surface. A global view of the planet Venus (left) centered on the BAT region that Madeleine Kerr studies. Photo: NASA ...

ORNL’s Titan supercomputer is helping Brookhaven physicists understand the matter that formed microseconds after the Big Bang. An experimental and theoretical exploration of the quantum chromodynamics ...

Los Alamos’ extensive study of HPC platforms finds silent data corruption in scientific computing – but not much. The Q supercomputer at Los Alamos National Laboratory. Q was once the world’s ...

A supercomputing co-design collaboration involving academia, industry and national labs tackles exascale computing’s monumental challenges. The next supercomputer frontier presents a journey into the ...

A computational astrophysicist gravitates to star-formation simulations. Colored lines visualizing magnetic field structure surrounding a young star. Blues represent lower magnetic field strength ...

A UC Berkeley fellow applies machine learning to snowpack monitoring and more. DOE CSGF recipient Marianne Cowherd in the field, the California snowpack. Photo: Marianne Cowherd. Environmental ...

A University of Alabama fellow shows that AI models learn to simulate atomic interactions. Three different stable configurations of sulfate electrolytes (red and yellow spheres) to layered surfaces of ...

A Montana State fellow charts a path from physics and modeling to a form of pure math called category theory. The Quantum Systems Accelerator at Berkeley Lab. DOE CSGF recipient Alex Ballow studies ...