General Lab Information

Brookhaven Lab’s expertise and investments in applied mathematics, artificial intelligence/machine learning, data science, high-performance computing, and quantum computing are actively addressing some of the most pressing data and science challenges to augment experimental research and reveal new pathways for discovery.

Computer Science and Applied Mathematics

Developing advanced methods for large scale, multi-modal, and streaming data analysis

Computing for National Security

Understanding how architectures and systems can tackle the challenges posed by data-intensive computing

Scientific Data and Computing Center

Expertise in operating large-scale computational science, data management, and analysis infrastructure

Computation and Data-Driven Discovery (C3D)

 Driving research and development of new methods and tools to extract knowledge from Big Data

Computational Science Laboratory

A collaborative laboratory for advanced algorithm development and optimization

Brookhaven Lab's Computational Science Initiative (CSI) excels at integrating computer science, applied mathematics, and computational science with broad domain expertise to tackle problems and advance knowledge impacting scientific discovery. CSI has long focused on timely analysis and interpretation of high-volume, high-velocity heterogeneous data, providing solutions for the national and international scientific community. These efforts now are being augmented by CSI's growing high-performance computing capabilities.

CSI takes a multidisciplinary, collaborative approach to its research, targeting challenges in cooperation with fellow researchers in science, national security, and industry—both at home and abroad. We measure success by the transformational impacts we bring to how research is conducted and the advances we introduce to fundamental disciplines such as mathematics, data analysis, and computer science.

Computational Science News

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