His research focuses on how subsurface oceans interact with the overlying ice crusts of moons such as Enceladus, one of ...
A fellowship alumnus helps himself and others to research on Argonne's Aurora supercomputer. Kyle Felker’s job can be as unpredictable as the hot, violent plasma he studies. As a computational ...
A UCSD engineering professor and former DOE CSGF recipient combines curiosity and diverse research experiences to tackle nanoscale questions and energy applications. When Tod Pascal was offered the ...
A UCSD fellow’s geodynamic model offers answers to stubborn questions about Venus’ surface. As a third-year Ph.D. student, Madeleine Kerr faced a critical decision. At the University of California San ...
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 ...
ORNL’s Titan supercomputer is helping Brookhaven physicists understand the matter that formed microseconds after the Big Bang. At the dawn of the universe – just after the Big Bang – all matter was in ...
As a child, Ian DesJardin found mathematics entrancing. “When you’re a little kid and believe magic is real, math and equations feel like spells,” he says. “They’re kind of this arcane knowledge that ...
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 ...
Applied mathematician and computer scientist Rachel Robey simulates the atmosphere’s interactions with land and sea to improve wind energy generation and climate modeling. In both areas, she captures ...
The next supercomputer frontier presents a journey into the unknown unlike any other, Tzanio Kolev says. Exascale computers, the first of which are expected to begin operation in 2021, will perform a ...
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, ...
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