Computational Materials Science and Engineering

Computational methods in materials science have made huge strides in recent years and parallel computing methodologies have played a major role in enabling such a progress. The goal of this chapter is to discuss the current state of the art in computational materials science as it stands today, illustrating advances in the development of parallel algorithms and the impact such algorithms have had in the area. The paper is intended to be accessible to a diverse scientific computing audience. The focus of the paper will be the Density Functional Theory methodology and the solution of the eigenvalue problems that are encountered in solving the resulting equations.