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gpCAM Wins R&D100 Award
August 8, 2024gpCAM, a software tool for autonomous labs of the future, has been honored with a 2024 R&D 100 Award in the software/services category.
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gpCAM Wins R&D100 Award
gpCAM, a software tool for autonomous labs of the future, has been honored with a 2024 R&D 100 Award.
Machine Learning Opens New Doors in Traumatic Brain Injury Research
A new paper describes how an innovative ML approach can enhance the prognosis and understanding of traumatic brain injury.
Climate Scientists Consider Category 6 Hurricanes
Can the open-ended Category 5 communicate the risk of hurricane damage in a warming climate?
A Decade of Success for NWB
As adoption of the Neurodata Without Borders standard grows, training and data sharing opportunities broaden
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.
News
Science Highlight: Specialized Hardware Helps Researchers Quickly Process Sparse Matrices
August 5, 2024Lehigh University and Berkeley Lab researchers have developed an accelerating sparse accumulation (ASA) architecture, specialized hardware that enables faster computation on data sets with many zero values.
Berkeley Lab Researchers Advance AI-Driven Plant Root Analysis
June 20, 2024As part of an investigation to help boost agricultural yields and develop crops that are resilient to climate change, Berkeley Lab scientists developed RhizoNet, a computational tool that harnesses the power of artificial intelligence to transform how we study plant roots and discover new insights into root behavior under various environmental conditions.
The Power of Numerical Analysis in Quantum Chemistry
May 28, 2024Two Berkeley-based mathematicians, including Dr. Lin Lin of the AMCR division, are using coupled cluster theory to better define the role of finite-size error in materials simulation, underscoring the importance of numerical analysis in science.
Unraveling Brain Complexity
May 22, 2024A SciData collaboration unveils an interpretable AI model and research that sheds light on a captivating discovery: the brain is a dual marvel. It acts as a dynamic system, seamlessly orchestrating our perception, thoughts, and actions, while simultaneously functioning as a high-powered computing engine, deftly processing sensory, cognitive, and behavioral information.
Celebration Spotlights Phil Colella’s Remarkable DOE Career New Article Page
May 15, 2024On April 19, applied mathematician Phillip Colella’s colleagues, collaborators, mentors, and mentees convened at Berkeley Lab’s Wang Hall to celebrate an illustrious career that has spanned more than four decades.
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.
