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Mathematics and Computer Science

Computational Engineering and Methods

Accelerating computational science and engineering

Argonne’s Mathematics and Computer Science division is developing scalable numerical methods encapsulated in robust software that enables scientific simulation on extreme-scale computers. Our research integrates work with applied mathematicians, computer scientists, and domain scientists both across the laboratory and throughout the world, developing the tools essential for new scientific discoveries and solutions to complex, real-world problems. Our strengths include computational fluid dynamics, higher-order methods, meshing techniques, and multiphysics software. We apply these strengths to DOE’s most critical applications in diverse areas such as astrophysics, Earth systems, energy systems, engineering diagnostics, materials science, and nuclear reactor simulation.

Related Projects

Publications

A time-relaxation reduced order model for turbulent channel flow

P.H. Tsai, P. Fischer, and T. Iliescu. J. Comput. Phys., 532, Part 2, 113563, Jan. 2025.

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High-order hybrid RANS-LES study of NACA0012 wing section

Vishal Kumar, Ananias Tombouldies, Paul Fischer, and Misun Min, Argonne National Laboratory, ANL-24/25, 2024.

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