## Fluctuating Hydrodynamics

## Atmospheric Modeling

## High-Order Combustion Simulations

## Fluctuating Hydrodynamics

## Computational Cosmology

## Compressible Astrophysics

## Low Swirl Burner

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 has also been the home of BoxLib, a software framework for massively parallel block-structured adaptive mesh refinement (AMR) codes. BoxLib has been used for the development of new algorithms and is the basis for many mature AMR applications. As part of DOE's Exascale Computing Project, CCSE and other researchers are developing AMReX, a next-generation block-strucutured AMR framework.

For more about CCSE, see ccse.lbl.gov

Group Lead: Ann Almgren