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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, and develop implementations of algorithms that target current and next-generation massively parallel computational architectures. Sample application areas include multiscale stochastic systems, atmospheric and ocean modeling, astrophysics, cosmology, multiphase flow, and electrodynamics. CCSE researchers work collaboratively with application scientists to develop state-of-the-art solution methodologies in these fields.


Core-Collapse Supernova
Astrophysics / Cosmology
Multiphase flow simulation
Multiphase Flow
WarpX
Electrodynamics
Atmospheric Modeling
Atmospheric Modeling
AMReX
Low Mach Number Simulation
Multiscale Modeling and Stochastic Systems (MuMSS)
Artemis
Microelectronics / Quantum Modeling
SEAHORCE
Ocean Modeling
ML
Machine Learning Accelerated Models
DOE OSC
SciDAC
ECP