June 22, 2016: In a pair of breakthrough Nature papers published last month, researchers in Eva Nogales’ Lab at UC Berkeley mapped two important protein functions in unprecedented detail. And they used supercomputers at NERSC to process and analyze the data. Read More »
- Exascale and Beyond We're rethinking every aspect of scientific computing—hardware, software, algorithms, efficiency and networking—to address limits on processor speed, memory and energy consumption. The goal: more science per Watt.
- Data-Driven Science We develop tools and technologies and provide the critical networking and computer resources that help scientists turn enormous, widely shared, and complex data sets into discoveries.
- Scientific Complexity Engaging scientists in a holistic, team-based approach—from theory, observations and experiments to simulation and data analysis—is a grand challenge and goal of Computing Sciences at Berkeley Lab.
June 13, 2016: Researchers are investigating a new material that screens out and captures for reuse xenon and krypton gases that are released during nuclear fuel recycling. The material has the potential to save energy and make reprocessing cleaner and less expensive. Read More »
June 10, 2016: Berkeley Lab researchers in the Computing Sciences Division have developed a new mathematical framework that allows researchers to capture fluid dynamics at unprecedented detail. The work could be used in a range of applications, like optimizing the shape of a propeller blade and the ejection of ink droplets in printers. Read More »