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.
Fusion heats up
Controlling fusion reactions has stymied physicists for decades. As the ITER international fusion reactor project approaches, researchers are putting in many hours on some of the world’s most powerful supercomputers at Department of Energy national laboratories to simulate conditions inside fusion reactors and work out persistent kinks.
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.
New supernova simulation codes run on more powerful supercomputers indicate a star’s death may be an even more complicated process than previously believed.
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.
Cool to the core
The next Department of Energy supercomputer will be a high-speed, energy-sipping bridge to exascale speed.
More than 10 years after simulations first suggested its presence,
observations appear to confirm that
a key instability drives the shock
behind one kind of supernova.
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.
Leaping to exascale
DOE Early Career Award researchers are developing software techniques to solve the most complex problems.