Modelling Quasicrystal Growth

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dc.creatorGrimm, Uwe
dc.creatorJoseph, Dieter
dc.date1999-03-04
dc.date.accessioned2026-07-07T03:12:57Z
dc.date.available2026-07-07T03:12:57Z
dc.descriptionUnderstanding the growth of quasicrystals poses a challenging problem, not the least because the quasiperiodic order present in idealized mathematical models of quasicrystals prohibit simple local growth algorithms. This can only be circumvented by allowing for some degree of disorder, which of course is always present in real quasicrystalline samples. In this review, we give an overview of the present state of theoretical research, addressing the problems, the different approaches and the results obtained so far.
dc.description21 pages, 9 figures: tutorial review presented at a summer school on quasicrystals in Chemnitz 1997; will eventually be published in a book called "Quasicrystals" which unfortunately grows even slower than the patterns discussed in this review; see also math-ph/9901014 and cond-mat/9903010
dc.identifierhttps://arxiv.org/abs/cond-mat/9903074
dc.identifierhttp://arxiv.org/abs/cond-mat/9903074
dc.identifierQuasicrystals - An Introduction to Structure, Physical Properties and Applications, edited by J.-B. Suck, M. Schreiber and P. H"aussler (Springer, Berlin, 2002) pp. 199-218
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/29109
dc.subjectDisordered Systems and Neural Networks
dc.titleModelling Quasicrystal Growth
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