Welcome to ASCR Discovery, a webzine about the research
that powers computational science – the use
of computers to gain insight and understanding of scientific
The Office of Advanced Scientific Computing Research in the Department of Energy Office of Science supports the projects described here. ASCR’s portfolio includes projects at DOE laboratories and many public and private universities. Such research may take years to reach fruition, but has profound impact on science and, ultimately, the way we live.
We hope you find ASCR Discovery enlightening, and we encourage your comments.
Good conduct metal
An Argonne National Laboratory
team is using large-scale simulation
to delve into the core of a
superconducting cable and reveal
how superconducting properties
can be optimized for efficiency.
Researchers want to put smart polymers to work in everything from drug delivery to oil recovery. Harnessing these macromolecules will rely on sorting out how polymers shift shape at their low critical solution temperature.
Simulations of microscopic reactions in underground saltwater deposits are nearly detailed enough to rival experiments geoscientists conduct into the effects of pumping carbon dioxide underground to slow climate change.
Mathematicians and spouses Antoine Cerfon and Miranda Holmes-Cerfon work in fusion energy and self-assembling materials, respectively, earning each an Early Career Research Program award.
A collaboration involving four national laboratories is out to improve computational models of ice sheet-land interactions and sea level rise from climate change.
This SC14 Test of Time-winning research from the mid-1990s made big computational models amenable to parallel processing.
Dimensions on a diet
A Colorado School of Mines professor’s mathematical methods probe inputs to cut problem size and ease computation. Image: Darwin Bell.
Exascale road bumps
Myriad technical challenges block the path to a computer a thousand times faster than today’s machines. A Department of Energy committee identifies the top 10.