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dc.contributor.authorSomogyi, Endre
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-05-07T06:29:05Z-
dc.date.available2019-05-07T06:29:05Z-
dc.date.issued2018
dc.identifier.citationJournal of WSCG. 2018, vol. 26, no. 1, p. 21-30.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.uriwscg.zcu.cz/WSCG2018/!_2018_Journal_WSCG-No-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/34585
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectfyzicky založené modelovánícs
dc.subjectbiologická simulacecs
dc.subjectdynamické síťovánícs
dc.subjectsimulace konečných prvkůcs
dc.titleA dynamic non-manifold mesh data structure to represent biological materialsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedComputational models of biological materials enable researchers to gain insight and make testable predictions of quantitative dynamic responses to stimuli. These models are particularly challenging to develop because biological materials are (1) highly heterogeneous containing both biological cells and complex substances such as extra-cellular medium, (2) undergo structural rearrangement (3) couple biological cells with their environment via chemical and mechanical processes. Existing numerical approaches excel at either describing biological cells or solids and fluids, but have difficulty integrating them into a single simulation approach. We present a novel dynamic non-manifold mesh data structure that naturally represents biological materials with coupled chemical and mechanical processes and structural rearrangement in a unified way.en
dc.subject.translatedphysically based modelingen
dc.subject.translatedbiological simulationen
dc.subject.translateddynamic meshingen
dc.subject.translatedfinite element simulationen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2018.26.1.3
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 26, Number 1 (2018)

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