Wavelet methods for analysing and bridging simulations at complementary scales - the compound wavelet matrix and application to microstructure evolution

G. Frantziskonis; P. A. Deymier

doi:10.1088/0965-0393/8/5/301

Wavelet methods for analysing and bridging simulations at complementary scales - the compound wavelet matrix and application to microstructure evolution

G. Frantziskonis, P. A. Deymier

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

We introduce a novel wavelet-based compound matrix to bridge models (Lennard-Jones model simulated with molecular dynamics and a lattice Q-states Potts model with a Monte Carlo simulation) that describe grain growth over different ranges of spatial and time scales. The compound wavelet matrix provides full statistical information on the microstructure at the range of scales that is the union of those handled by the two models.

Original language	English (US)
Pages (from-to)	649-664
Number of pages	16
Journal	Modelling and Simulation in Materials Science and Engineering
Volume	8
Issue number	5
DOIs	https://doi.org/10.1088/0965-0393/8/5/301
State	Published - Sep 2000

ASJC Scopus subject areas

Modeling and Simulation
General Materials Science
Condensed Matter Physics
Mechanics of Materials
Computer Science Applications

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abstract = "We introduce a novel wavelet-based compound matrix to bridge models (Lennard-Jones model simulated with molecular dynamics and a lattice Q-states Potts model with a Monte Carlo simulation) that describe grain growth over different ranges of spatial and time scales. The compound wavelet matrix provides full statistical information on the microstructure at the range of scales that is the union of those handled by the two models.",

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Wavelet methods for analysing and bridging simulations at complementary scales - the compound wavelet matrix and application to microstructure evolution

Abstract

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