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most citedEquation-Free Multiscale Computation: enabling microscopic simulators to perform system-level tasks

89 citations · 93 across the 7 of their papers we have counts for

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physics.comp-ph20041 cited

Projecting to a Slow Manifold: Singularly Perturbed Systems and Legacy Codes

C. W. Gear, T. J. Kaper, I. G. Kevrekidis +1

The long-term dynamics of many dynamical systems evolve on an attracting, invariant "slow manifold" that can be parameterized by a few observable variables. Yet a simulation using…

physics.comp-ph2003

From molecular dynamics to coarse self-similar solutions: A simple example using equation-free computation

L. Chen, P. G. Debenedetti, C. W. Gear +1

In the context of the recently developed "equation-free" approach to the computer-assisted analysis of complex systems, we illustrate the computation of coarsely self-similar solut…

physics.comp-ph2003

Constraint-defined Manifolds: a Legacy Code Approach to Low-dimensional Computation

C. W. Gear, I. G. Kevrekidis

If the dynamics of an evolutionary differential equation system possess a low-dimensional, attracting, slow manifold, there are many advantages to using this manifold to perform co…

physics.comp-ph2002

Deciding the Nature of the "Coarse Equation" through Microscopic Simulations: the Baby-Bathwater Scheme

Ju Li, Panayotis G. Kevrekidis, C. William Gear +1

Recent developments in multiscale computation allow the solution of ``coarse equations'' for the expected macroscopic behavior of microscopically/stochastically evolving particle d…

physics.comp-ph20022 cited

Boundary processing for Monte Carlo Simulations in the Gap-Tooth Scheme

C. W. Gear, Ioannis G. Kevrekidis

This note reports on a scheme for interpolating the boundary conditions be- tween non-adjacent modeling regions when the model is based on Monte-Carlo computations of a collection…

physics.comp-ph200289 cited

Equation-Free Multiscale Computation: enabling microscopic simulators to perform system-level tasks

Ioannis G. Kevrekidis, C. William Gear, James M. Hyman +3

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…