Rich Hornung works in the Scientific Computing Group in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. His research interests include adaptive mesh refinement and numerical algorithms for partial differential equations, computational methods for multiscale problems, large-scale object-oriented software design for scientific computing applications, and parallel computing. Currently, Rich is working on multiple projects involving the development of scalable local grid refinement methods for electronic structures calculations, and the development of large-scale parallel simulation technology and multi-scale methods for problems in solid mechanics. Prior to these efforts, Rich worked on hybrid continuum-atomistic algorithms for fluid flows and flow in porous media problems. Until fall 2004, Rich served for five years as project leader for the SAMRAI adaptive mesh refinement infrastructure project in CASC. Rich is one of the original designers and developers of that software.
Rich earned his PhD in Applied Mathematics from Duke University in 1994, and his BA in Mathematics and Music from Lawrence University (Appleton, WI) in 1989. Before joining LLNL, Rich was an NSF Industrial Postdoctoral Research Fellow working jointly with researchers at Duke University and Mobil Exploration and Production Technical Center in Dallas, TX.