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 Advanced Photon Source upgrades to large-sample 3-D imaging beyond the depth of field – with assistance from high-performance computing. An X-ray beam (blue) is focused on a rotating ...

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 ...

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 University of Maryland fellow models how infectious disease moves through populations. An EpiCast simulaiton models behavioral information and county-level disease cases over time. Image: Joy Kitson ...

A fourth-year fellow probes cloud droplets to boost climate predictions. When Emily de Jong arrived at Caltech for her Ph.D. in 2019, she’d done internships in the oil industry and thought that she ...

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 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 ...

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 ...

A fellow attempts to move machine learning from pattern recognition to scientific reasoning. Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ...

A Georgia Tech fellow models renewable energy and other problems with ever-changing unknowns. Real-world modeling problems are rife with uncertainty and complicated interactions. To maximize profits, ...