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The Center for Computational Sciences and Engineering (CCSE) develops and applies advanced computational methodologies to solve large-scale scientific and engineering problems arising in the Department of Energy (DOE) mission areas involving energy, environment, and industrial technology. CCSE researchers design algorithms for multiscale, multiphysics problems described by nonlinear systems of partial differential equations; develop implementations of algorithms that target current and next-generation massively parallel computational architectures; and design new efficient algorithms for optimization and decision support. Sample application areas include combustion, multiscale stochastic systems, astrophysics, cosmology, multiphase flow, and particle accelerators. CCSE researchers work collaboratively with application scientists to develop state-of-the-art solution methodologies in these fields.


AMReX
AMReX
Low Mach Number Simulation
Multiscale Modeling and Stochastic Systems (MuMSS)
Optimization
Mathematics for Optimization and Decision Support (MODS)
Hydrogen Flames
Combustion: Algorithms and Applications
Core-Collapse Supernova
Astrophysics
Multiphase flow simulation
Multiphase Flow
WarpX
Accelerator Modeling
Cosmological simulation
Cosmology
DOE OSC
SciDAC
ECP