The research in scientific computing encompasses numerical linear algebra, large-scale parallel computing, numerical solution of partial differential equations, extened cellular automata models, and models of turbulent flow.

Models of Turbulent Flow:

Work in three-dimensional vortex methods is pursued with a view toward the simulation of high Reynolds number turbulent flows. Algorithms under development exploit MIMD architecture while minimizing interprocessor communication.

Numerical Solution of Partial Differential Equations:

Current emphasis includes problems arising in computational fluid dynamics and structural meachanics, modeling of semiconductor devices, and their solution on parallel architectures.

Numerical Linear Algebra:

Research in numerical linear algebra ranges widely over theory, algorithms, and applications, with emphasis on Markov chaings, queuing theory, ill-posed problems and signal processing.

Extended Cellular Automata Models for Simulated Self-Replication:

Self-replicating nucleotides and other self-replicating molecules are an active area of study by organic chemists. Efficient celluar automata methods are being explored that support the study of self-replicating oligonucleotides.