Multiple-scale Methods
Multi-scale methods development in CCIM is concerned with the underlying physics and mathematical theories, along with their numerical implementation for simulation of complex, multiscale
and multiphysics scientific and engineering systems. The development and application of these theories, with the required algorithms and solution methods, are used for bridging across disparate length
and time scales in large scale numerical modeling and simulation of complex physical systems. Work in this area seeks to enable scalable, high-fidelity simulations of real world material and
physical systems through development and implementation of multi-scale algorithms for coupled nonlinear, mutiple time scale PDE systems, subgrid-scale modeling, and methods for coupling non-continuum
simulations or coupling non-continuum and continuum simulations. Example algorithmic approaches include: mathematical homogenization; variational multi-scale methods; multi-grid type methods; operator
splitting approaches; hierarchical constitutive equations; multi-region simulation methods; coarse-graining of discrete systems; finite size scaling; and linear scaling.
Areas of Research:
- Chalcogenide-based Phase-change
Materials for Electronic Memory Devices
(Contact: Peter
A. Schultz)
- Fluid Turbulence Models
- Integrated Force Field Development
(Contact: Peter
A. Schultz)
- Local Mesh Refinement Algorithms,
Error Estimation, Dynamic Data Structures
(Contact: James
R. Stewart, Advanced Computational Mechanics Dept., 9143)
- Multi-level Solvers: Projection
Operators for Unstructured Meshes
(Contact: Raymond
S. Tuminaro)
- Multiscale Approaches to Artificial
Viscosity for Shock-Hydrodynamics
(Contact: Mark
A. Christon)
- Quantum-classical DFT Coupling
(Contact: Mark
P. Sears)
- Substructured Multi-body Dynamics
MD
(Contact: Paul
S. Crozier)
- Time Integration Algorithms for
Multiple-time Scale Coupled Nonlinear PDEs
(Contact: John
N. Shadid)
- Towhee-Tramonto Coupling
(Contact: Marcus G. Martin)
Program Contact: John B. Aidun and John N. Shadid
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