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View a frequently updated list of CSA contributors and a schedule of their presentations.
As adoption of the Neurodata Without Borders standard grows, training and data sharing opportunities broaden
Her appointment will be effective October 9, 2023. The announcement follows an extensive international search.
Berkeley Lab researchers will lead a three-year, $12 million effort to create a generalized exascale tool for epidemiological modeling
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.
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.
In less than two weeks, several Berkeley Lab machine learning experts head to New Orleans for the 37th Conference on Information Processing Systems (NeurIPS 2023), held this year from December 10-16, 2023.
David Tench, the 2023 Grace Hopper postdoctoral fellow at Lawrence Berkeley National Laboratory (Berkeley Lab), describes discovering his fellowship opportunity as a “Goldilocks moment.”
Berkeley Lab’s CAMERA will expand its work on developing new mathematics, algorithms, software, autonomous workflows, and real-time edge mathematics for the DOE’s next-generation X-ray light sources and neutron scattering facilities.
CSA researchers, scientists, and engineers are participating in a variety of tutorials, workshops, panels, technical papers, and posters as part of SC23's technical program.
The DOE’s Office of Cybersecurity, Energy Security, and Emergency Response recently announced $39 million in funding for nine new National Laboratory projects to advance the cybersecurity of distributed energy resources, including two projects led by Berkeley Lab.
Erika Ye has joined the Scalable Solvers Group in the Applied Mathematics and Computational Research Division, where she is working on an algoritm aimed at solving classical partial differential equations with reduced computational cost.
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.
