Equation-Free, Coarse-Grained Multiscale Computation: Enabling Mocroscopic Simulators to Perform System-Level Analysis
Princeton University · Los Alamos National Laboratory · +2 more institutions
Abstract
We present and discuss a framework for computer-aided multiscale analysis, which enables models at a fine (microscopic/stochastic) level of description to perform modeling tasks at a coarse (macroscopic, systems) level. These macroscopic modeling tasks, yielding information over long time and large space scales, are accomplished through appropriately initialized calls to the microscopic simulator for only short times and small spatial domains. Traditional modeling approaches first involve the derivation of macroscopic evolution equations (balances closed through constitutive relations). An arsenal of analytical and numerical techniques for the efficient solution of such evolution equations (usually Partial…
Citation impact
- FWCI
- 45.86
- Percentile
- 100%
- References
- 40
Authors
6Topics & keywords
- Computation
- Computer science
- Applied mathematics
- Computational science
- Statistical physics
- Mathematics
- Algorithm
- Physics