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 ...

Argonne’s Joe Insley combines art and computer science to build intricate images and animations from supercomputer simulations. This video includes a collage of images and a supernova simulation ...

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

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 UT Austin-based fellow blends physics and advanced computing to reveal cosmic rays’ role in stellar events. Snapshots from a simulation chronicling the gravitational collapse of gases to form stars.

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 ...