Categorical imperative
A Montana State fellow charts a path from physics and modeling to a form of pure math called category theory.
Categorical imperative Read Post
A Montana State fellow charts a path from physics and modeling to a form of pure math called category theory.
Categorical imperative Read Post
A UCSD engineering professor and former DOE CSGF recipient combines curiosity and diverse research experiences to tackle nanoscale questions and energy applications.
A UT Austin-based fellow blends physics and advanced computing to reveal cosmic rays’ role in stellar events.
A Vanderbilt University fellowship recipient applies math, physics and computation to sort out semiconductor defects.
‘Putting it all together’ Read Post
A DOE CSGF recipient studies transients, celestial objects that appear suddenly and rapidly fade.
The superfacility concept links high-performance computing capabilities across multiple scientific locations for scientists in a range of disciplines.
A DOE CSGF recipient at the University of Texas took on a hurricane-flooding simulation and blew away limits on its performance.
A Berkeley Lab team tags dramatic weather events in atmospheric models, then applies supercomputing and deep learning to refine forecasts.
A Berkeley Lab-Northwestern University team follows fish movements to build energy-efficiency algorithms.
A Berkeley Lab project computes a range of materials properties and boosts the development of new technologies.
With a boost from the Titan supercomputer, a Berkeley Lab group works the angles on X-rays to analyze thin films of interest for the next generation of nanodevices.
The AnalyzeThis system deals with the rush of huge data-analysis orders typical in scientific computing.
Berkeley Lab cosmologists sift tsunamis of data for signals from the birth of galaxies.
Dark energy propels the universe to expand faster and faster. Researchers are using simulations to test different conceptions about how this happens.
Rewinding the universe Read Post
To prevent important information from being missed, a Berkeley Lab team is improving how supercomputers divvy up the ponderous tasks surrounding large simulations’ analytics and visualization.
Filling in the blanks Read Post
Berkeley scientists have combined computational modeling and advanced materials synthesis to devise a low-cost anode that bolsters the feasibility of long-life lithium-ion batteries.
Researchers have pursued clean hydrogen-based fuels for years. A Berkeley Lab team hopes to spur that quest with help from one of the world’s most powerful computers.
Helping hydrogen along Read Post
Computation ferrets out emergent behaviors of novel materials built from tiny blocks.
Nanostructural problem-solvers Read Post