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Computational Sciences & Mathematics

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    • When a frustrated car lover who just happens to have a keen interest in applied graph theory takes to Google, the search results can yield something interesting. In this case, one professor’s online search for an efficient way to judge classic Jaguars led him to Mahantesh Halappanavar, from the High Performance Computing group, whose research involving graph matching and coloring algorithms proved to be an opportune and novel matchup between classic cars and classical graph theory. Read more.


  • In ongoing work with Ford Motor Company, Xiaohua Hu and Xin Sun, from the Applied Computational Mathematics and Engineering group, developed an integrated manufacturing process simulation framework that enhances understanding of what occurs as AA6111-T4 aluminum alloy sheets, primarily used for automotive paneling, undergo shearing or trimming in preparation for the forming process. The added ability to predict what aspects of the trimming process contribute to edge fractures in these quality materials could generate lighter, more durable alloy sheets and further improve automobile fabrication. Read more.


About the Division


PNNL’s Computational Sciences & Mathematics Division focuses on the “Science of Computing” and creating new computational capabilities to solve problems using extreme-scale simulation and data analytics.

The Computational Sciences & Mathematics Division (CSMD) at Pacific Northwest National Laboratory provides science, technologies, and leadership to solve significant problems of national interest in energy, environment, national security, and fundamental science. At CSMD, our research is aimed at creating new, state-of-the-art computational capabilities using extreme-scale simulation and peta-scale data analytics that enable scientific breakthroughs.

We are developing intelligent hardware and software solutions that analyze, store, and share data in ways that enable innovative research, while reducing both cost and time. These research and development activities are giving rise to scientific breakthroughs in high-impact areas, including infrastructures, computing architectures, and advanced analytical techniques.

In addition, CSMD offers investigator-initiated and multi-institutional collaborative research, unique scientific instrumentation, and national program leadership to translate the latest discoveries into technologies for the scientific community.

To address a constantly shifting set of opportunities as new areas of inquiry become technically feasible for the first time, CSMD is cultivating research capabilities in:


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Computational Sciences & Mathematics

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