Detection and tracking of defects in the gyroid mesophase

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dc.creatorHarting, Jens
dc.creatorHarvey, Matthew J.
dc.creatorChin, Jonathan
dc.creatorCoveney, Peter V.
dc.date2004-09-07
dc.date.accessioned2026-07-07T06:24:55Z
dc.date.available2026-07-07T06:24:55Z
dc.descriptionCertain systems, such as amphiphile solutions or diblock copolymer melts, may assemble into structures called ``mesophases'', with properties intermediate between those of a solid and a liquid. These mesophases can be of very regular structure, but may contain defects and grain boundaries. Different visualization techniques such as volume rendering or isosurfacing of fluid density distributions allow the human eye to detect and track defects in liquid crystals because humans are easily capable of finding imperfections in repetitive spatial structures. However, manual data analysis becomes too time consuming and algorithmic approaches are needed when there are large amounts of data. We present and compare two different approaches we have developed to study defects in gyroid mesophases of amphiphilic ternary fluids. While the first method is based on a pattern recognition algorithm, the second uses the particular structural properties of gyroid mesophases to detect defects.
dc.description20 pages, accepted for publication in Computer Physics Communications. Please contact the authors for higher quality figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0409149
dc.identifierhttp://arxiv.org/abs/cond-mat/0409149
dc.identifierComputer Physics Communications 165, 97-109 (2004)
dc.identifierdoi:10.1016/j.cpc.2004.10.001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/96708
dc.subjectSoft Condensed Matter
dc.subjectOther Condensed Matter
dc.titleDetection and tracking of defects in the gyroid mesophase
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