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Engaging Neuroscience Community Remains Top of Mind for Neurodata Without Borders Team
September 25, 2023As adoption of the NWB standard and ecosystem grow, training and data sharing opportunities for the neuroscience community broaden worldwide.
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A Decade of Success for NWB
As adoption of the Neurodata Without Borders standard grows, training and data sharing opportunities broaden
Ana Kupresanin to Lead Berkeley Lab's Scientific Data Division
Her appointment will be effective October 9, 2023. The announcement follows an extensive international search.
Epidemiological Modeling in the Exascale Era
Berkeley Lab researchers will lead a three-year, $12 million effort to create a generalized exascale tool for epidemiological modeling
Data Processing Pipeline Transforms Planck Mission Discovery
Berkeley Lab’s Reijo Keskitalo Awarded NASA Exceptional Public Achievement Medal
Quantum Evolution
A leading expert in quantum computing, Bert de Jong discusses why quantum computing matters, where it is today, and the potential of this emerging technology to change science.
Improving Training for Scientific Machine Learning
Neural networks can be difficult to train and employ on large-scale science problems. That's why Berkeley Lab researchers are devising new training methods tailored to scientific machine learning.
WarpX Goes Exascale
The ECP-funded WarpX Project has spent the last six years creating a novel, highly parallel, and highly optimized single-source simulation code for modeling plasma-based particle colliders on cutting-edge exascale supercomputers.
News
Ana Kupresanin Tapped to Lead Berkeley Lab's Scientific Data Division
September 13, 2023Ana Kupresanin has been selected to serve as the next division director for Lawrence Berkeley National Laboratory’s Scientific Data Division in the Computing Sciences Area. Her appointment will be effective October 9, 2023.
Epidemiological Modeling in the Exascale Era
September 8, 2023With funding from DOE’ss BRaVE initiative, the Berkeley Lab-led EMERGE project will expand the capabilities of ExaEpi, an exascale-ready epidemiological agent-based model to target six diseases.
Data Processing Pipeline Transforms Planck Mission Discovery
September 7, 2023Reijo Keskitalo, a member of SciData’s Computational Cosmology Center, was awarded NASA’s Exceptional Public Achievement Medal for “developing novel tools and approaches for maximizing NASA’s understanding of the universe from the Planck mission data.”
SULI Program Helps Computing Sciences Area Summer Interns Break New Ground
August 31, 2023The DOE SULI program is designed to encourage undergraduate students from two- and four-year colleges, post-baccalaureates, and graduate students to pursue STEM careers by providing research internships at DOE national laboratories.
“Debfest,” Celebrating Deb Agarwal’s Contributions to Science and Berkeley Lab Culture
July 17, 2023On Friday, July 7, former Scientific Data Division Director Deb Agarwal’s family, friends, and colleagues gathered at UC Berkeley’s Faculty Club to celebrate her 29-year career and contributions to Berkeley Lab Computing Sciences area—an event jokingly dubbed “Debfest.”
Divisions
Scientific Data Division
SciData transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
Applied Mathematics and Computational Research Division
The Applied Mathematics & Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture, and high-performance software implementation.
Centers
CAMERA: Center for Advanced Mathematics for Energy Research Applications
The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is an integrated, cross-disciplinary center aimed at inventing, developing, and delivering the fundamental new mathematics required to capitalize on experimental investigations at scientific facilities.
QSA: Quantum Systems Accelerator
The Quantum Systems Accelerator is catalyzing national leadership in quantum information science to co-design the algorithms, quantum devices, and engineering solutions needed to deliver certified quantum advantage in Department of Energy scientific applications. Berkeley Lab leads the center. Sandia National Laboratories is the lead partner.
