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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. The primary focus of CCSE researchers is on designing algorithms for multiscale, multiphysics problems described by nonlinear systems of partial differential equations, and in developing implementations of algorithms that target current and next-generation massively parallel computational architectures. Sample application areas include combustion, porous media flow, fluctuating hydrodynamics, atmospheric modeling, cosmology and astrophysics. CCSE researchers work collaboratively with application scientists to develop state-of-the-art solution methodologies in these fields.

CCSE is also the home of BoxLib, a software framework for massively parallel block-structured adaptive mesh refinement (AMR) codes. BoxLib is used for the development of new algorithms and is the basis for many mature AMR applications.

Turbulent V-flame
Laboratory-Scale Flames
Hydrogen Flames
Hydrogen Flames
Bubble
Thermonuclear Flames
Turbulent Jets
Incompressible AMR
Porous media simulation
Porous Media
Low Mach Number Simulation
Fluctuating Hydrodynamics
Convecting White Dwarf
Low Mach Number Astrophysics
Cosmological simulation
Computational Cosmology
Core-Collapse Supernova
Compressible Astrophysics
LBNL
LBL CRD
DOE OSC