April 18, 2018: Materials science researchers at Pacific Northwest National Laboratory used experiments involving graphene, along with calculations run at NERSC, to better understand how oxygen atoms bind with carbon and turn graphene into a unique catalytic support. Read More »
- Exascale and Beyond Escalating computing power has enabled science problems inconceivable a few years ago. Continuing this growth requires new devices, architecture and algorithms, software and computing facility operations.
- Data-Driven Science The “superfacility” is our vision to help researchers turn the rising tide of experimental and observational data into science by coupling instruments to advanced computing through powerful networks and research expertise.
- Scientific Complexity To answer, and anticipate, increasingly sophisticated science questions, researchers need advanced math models and methods, new algorithms and better ways to use computing and networking.
April 16, 2018: NNSA is hosting a competition to find innovative algorithms to detect non-natural radiation sources in urban environments, and they've teamed up with researchers in Berkeley Lab’s Computational Research, Nuclear Science and Information Technology divisions to build a Kaggle-inspired data analytics competition platform to host it. Read More »