Computational and Information Sciences Directorate Research Areas

Computational Multiscale Materials Modeling

Advisor: P. Chung (peter.w.chung.civ@mail.mil)
Aberdeen Proving Ground, Maryland

Key words: Computational science; Materials science; Solid-state physics; Physical chemistry; Materials modeling; Constitutive modeling; Numerical methods; Computational methods; Numerical and computational methods; Statistical mechanics; Parallel computing;

We specialize in deriving, developing, testing and validating novel computational techniques for simulating unique physical, mechanical, and material phenomena.  Current research areas include scale transitioning methods that formulate new multiscale continuum theories, scale-linking numerical methods, mesoscale and multiscale modeling methods, exascale high performance computing, and investigations of specific applications-oriented materials science phenomena.

Research involves the development of physics-based understanding of mechanisms and phenomena, theory derivation, code writing, validation, and tool development.  Numerous opportunities cover broad areas ranging from computational science to applied materials modeling.  Specific emphasis is placed on fundamental research that leads to new discoveries and broad-based modeling capabilities.

References:
1. J.C. Crone, J. Knap, P.W. Chung, and B. M. Rice, Role of microstructure in initiation of Ni-Al reactive multilayers, Applied Physics Letters, 2011.
2. J.J. Ramsey, E. Pan, P. W. Chung, and Z. M. Wang, Superlattice Growth via MBE and Green's Function Techniques, Nanoscale Research Letters, 2010.
3. A.J. Ciani and P. W. Chung, Simulations of dislocations in CdZnTe/SL/Si Substrates, Journal of Electronic Materials, 2010.
4. J.D. Clayton and P. W. Chung, An atomistic-to-continuum framework for nonlinear crystal mechanics based on asymptotic homogenization, Journal of the Mechanics and Physics of Solids, 2006.