A detector suggested dark matter collisions, but no other test has seen similar signs.
Nuclear predictive
Argonne National Laboratory applies mathematics and computation to engineer the next generation of nuclear reactors.
Getting a grip on the grid
A PNNL team enlists new algorithms and powerful computers to quickly analyze which combinations of failures most threaten the power grid.
The master of Monte Carlo
Berni Alder’s Monte Carlo methods have solved problems across the scientific spectrum. Yet the Livermore-based National Medal of Science-recipient still has questions.
Going big to study small
It takes a big computer to model very small things. And, like its namesake state, New York Blue is big. Made up of 36,864 processors, the massively parallel IBM Blue Gene/L is housed at DOE’s Brookhaven National Laboratory (BNL) on New York’s Long Island, where, among other things, it’s used to model quantum dots, or […]
Putting catalysts on track
Computation and experimentation combine to improve and speed design of useful compounds.
Breaking the biomass barrier
What Oak Ridge National Laboratory researchers are learning could help make ethanol from cellulose a viable fuel alternative – and help the United States replace foreign oil with a green, renewable resource.
Extending the stockpile’s lifespan
Just how does prolonged exposure to nuclear radiation change a material’s properties? How do those changes alter the way a weapon performs? A Los Alamos team quantifies these and other uncertainties.
The big face off
Pacific Northwest National Laboratory researchers say their algorithms can analyze millions of video frames, pluck out the faces and quantify them to create searchable databases for facial identification.
Invoking pharaoh’s name
The U.S. nuclear weapons arsenal must withstand attack and successfully strike their targets. Sandia scientists must figure out how.
Nanostructural problem-solvers
Computation ferrets out emergent behaviors of novel materials built from tiny blocks.
