Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0167-2789(02)00737-6
DC FieldValue
dc.titleGeometry and boundary control of pattern formation and competition
dc.contributor.authorGuan, S.
dc.contributor.authorLai, C.-H.
dc.contributor.authorWei, G.W.
dc.date.accessioned2014-10-16T09:26:47Z
dc.date.available2014-10-16T09:26:47Z
dc.date.issued2003-02-15
dc.identifier.citationGuan, S., Lai, C.-H., Wei, G.W. (2003-02-15). Geometry and boundary control of pattern formation and competition. Physica D: Nonlinear Phenomena 176 (1-2) : 19-43. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-2789(02)00737-6
dc.identifier.issn01672789
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/96724
dc.description.abstractThis paper presents the effective control of the formation and competition of cellular patterns. Simulation and theoretical analyses are carried out for pattern formation in a confined circular domain. The Cahn-Hilliard equation is solved with the zero-flux boundary condition to describe the phase separation of binary mixtures. A wavelet-based discrete singular convolution algorithm is employed to provide high-precision numerical solutions. By extensive numerical experiments, a set of cellular ordered state patterns are generated. Theoretical analysis is carried out by using the Fourier-Bessel series. Modal decomposition shows that the pattern morphology of an ordered state pattern is dominated by a principal Fourier-Bessel mode, which has the largest Fourier-Bessel decomposition amplitude. Interesting modal competition is also observed. It is found that the formation and competition of cellular patterns are effectively controlled by the confined geometry and boundary condition. © 2002 Elsevier Science B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0167-2789(02)00737-6
dc.sourceScopus
dc.subjectCahn-Hilliard equation
dc.subjectCircular domain
dc.subjectControlling pattern formation
dc.subjectFourier-Bessel analysis
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.contributor.departmentCOMPUTATIONAL SCIENCE
dc.description.doi10.1016/S0167-2789(02)00737-6
dc.description.sourcetitlePhysica D: Nonlinear Phenomena
dc.description.volume176
dc.description.issue1-2
dc.description.page19-43
dc.description.codenPDNPD
dc.identifier.isiut000180663200002
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