2009
DOI: 10.1142/s0218127409024074
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IDENTIFICATION OF THE TRANSITION RULE IN A MODIFIED CELLULAR AUTOMATA MODEL: THE CASE OF DENDRITIC NH4Br CRYSTAL GROWTH

Abstract: Monograph ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify t… Show more

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Cited by 5 publications
(5 citation statements)
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“…A cellular automata (CA) model is a spatial and dynamic model for simulating and representing complex spatial and dynamic processes in many research fields [24][25][26][27]. In geospatial science, the CA model has been extensively used to simulate dynamics of land use change and other natural geo-processes [28][29][30].…”
Section: Gap Filling Modeling Approachesmentioning
confidence: 99%
“…A cellular automata (CA) model is a spatial and dynamic model for simulating and representing complex spatial and dynamic processes in many research fields [24][25][26][27]. In geospatial science, the CA model has been extensively used to simulate dynamics of land use change and other natural geo-processes [28][29][30].…”
Section: Gap Filling Modeling Approachesmentioning
confidence: 99%
“…This approach was employed to estimate a geometric evolution model based on 2D dendrite growth patterns of NH 4 Br crystals obtained experimentally, as detailed in section 3.1. The curvature and normal velocity along the boundary were computed using the algorithms described earlier.…”
Section: Model Estimationmentioning
confidence: 99%
“…Local models of dendritic crystal growth include cellular automata-type models [1][2][3][4] , diffusion-limited aggregation (DLA) models 5 and geometric models [6][7][8][9][10] , which describe interfacial growth velocity in terms of the geometric properties of the phase boundary, typically curvature. Of the models that take into account longrange diffusional effects, phase field models 11,12 are perhaps the most popular and widely used.…”
Section: Introductionmentioning
confidence: 99%
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“…Moreover, the Sharp Interface Model [Maalmi et al, 1995;M and M, 2007], the Boolean Model for Snowflake Growth [S.A. Wolfram, 2002] and the Cellular Automata Model [Zhao et al, 2009] have also been developed to model growth processes. A parabolic model with fourth-order correction was introduced to fit to the profile of the tips of NH4Cl dendrites [Dougherty and Lahir, 2005;A and T, 2007].…”
Section: Introductionmentioning
confidence: 99%