An international team searches for optimal materials to use in windows that double as solar panels.
Oak Ridge National Laboratory is testing a ‘deep-learning supercomputer in a box’ as it looks ahead to machines that automatically find insights in data.
DOE researchers design algorithms that model a million atoms and probe the detailed chemical behavior of materials.
Sandia researcher taps high-performance computers to design metamaterials that mold electromagnetics.
Biologically inspired architectures create opportunities and obstacles.
Researchers turn to DOE supercomputers to study the havoc – and promise – of tiny bubbles.
DOE-NCI project applies computational power to predict molecular targets for cancer therapies.
The Titan supercomputer and a tool called Starkiller help Stony Brook University-led team simulate key moments in exploding stars.
Models based on advanced statistical theory and machine-learning algorithms aim to predict a disease’s trajectory.
National labs lead the push for operating systems that let applications run at exascale.