August 16, 2017: Sally Ellingson and Derek Jones of the University of Kentucky, Lexington, spent the summer working in CRD to use machine learning to enhance a model for predicting how drugs will bind to specific proteins. 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.
August 10, 2017: ESnet's Mariam Kiran and CRD's Lin Lin have both received 2017 Early Career Research Program awards from the Department of Energy’s Office of Science. Now in its eighth year, the award supports exceptional researchers during critical stages of their formative work by funding their research for five years. Read More »
August 7, 2017: Using NERSC's Edison supercomputer, physicists at Princeton Plasma Physics Laboratory have modeled how recycled neutral atoms, which arise when hot plasma strikes a tokamak fusion reactor’s walls, increase plasma turbulence driven by what is called the “ion temperature gradient.” Read More »