A new wavelet-based paradigm for hierarchical coarse-graining applied to materials modeling

Ahmed E. Ismail, Gregory C. Rutledge, George Stephanopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We outline how the wavelet transform, a hierarchical averaging scheme, can be used to perform both structural and topological coarse-graining in systems with multiscale physical behavior, such as Ising lattices and polymer models. We illustrate how to create sampling mechanisms, which we call wavelet-accelerated Monte Carlo (WAMC), to study these systems and obtain qualitative and quantitatively accurate results in orders of magnitude less time than using atomistic simulations.

Original languageEnglish (US)
Title of host publicationProceedings of the 2004 American Control Conference (AAC)
Pages920-925
Number of pages6
DOIs
StatePublished - Nov 29 2004
Externally publishedYes
EventProceedings of the 2004 American Control Conference (AAC) - Boston, MA, United States
Duration: Jun 30 2004Jul 2 2004

Publication series

NameProceedings of the American Control Conference
Volume1
ISSN (Print)0743-1619

Other

OtherProceedings of the 2004 American Control Conference (AAC)
CountryUnited States
CityBoston, MA
Period6/30/047/2/04

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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