Andy Boyles is a senior science writer at the Krell Institute and contributing science editor at Highlights for Children Inc.

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 ...

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

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 computational sciences fellow models COVID-19 virus variants and examines how people weigh complex decisions. The GenSLM algorithm used an AI-based model to predict COVID-19 variants of concern. The ...

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 ...

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 ...

Anda Trifan, a multilingual Romanian émigré, planned on an international business career and chose DePaul University for its strength in the subject. But “about a week before school started, I called ...

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 ...

With the fifth season's first episode, a DOE CSGF-sponsored podcast launches a website. The Science in Parallel podcast’s new website is now live. The SiP website coincides with the start of Season ...

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, ...