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26 postdocs shared 10-minute presentations with an audience of peers, mentors, and coworkers in this day-long event.
A new paper describes how an innovative ML approach can enhance the prognosis and understanding of traumatic brain injury.
Can the open-ended Category 5 communicate the risk of hurricane damage in a warming climate?
As adoption of the Neurodata Without Borders standard grows, training and data sharing opportunities broaden
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.
Two 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.
A 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.
On 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.
From keynote sessions to tutorials, BOFs, and workshops, Berkeley Lab is bringing its HPC expertise to the ISC High Performance 2024 Conference.
Researchers from Berkeley Lab, San Francisco State University, and Case Western Reserve University recently published two papers representing significant strides in understanding and harnessing current quantum devices for data encoding, processing, and visualization.
Berkeley Lab’s David Brown has been honored with a 2024 SIAM Prize for Distinguished Service to the Profession for his decades of commitment to enriching the computational science community.
SciData transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
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.
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.
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.
