Equation-free dynamic renormalization of a Kardar-Parisi-Zhang-type equation

David A. Kessler, Ioannis G. Kevrekidis, Ligang Chen

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

In the context of equation-free computation, we devise and implement a procedure for using short-time direct simulations of a Kardar-Parisi-Zhang-(KPZ- ) type equation to calculate the self-similar solution for its ensemble averaged correlation function. The method involves "lifting" from candidate pair-correlation functions to consistent realization ensembles, short bursts of KPZ-type evolution, and appropriate rescaling of the resulting averaged pair correlation functions. Both the self-similar shapes and their similarity exponents are obtained at a computational cost significantly reduced to that required to reach saturation in such systems.

Original languageEnglish (US)
Article number036703
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume73
Issue number3
DOIs
StatePublished - Mar 14 2006

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Equation-free dynamic renormalization of a Kardar-Parisi-Zhang-type equation'. Together they form a unique fingerprint.

  • Cite this