Topology-based Visualization of Transformation Pathways in Complex Chemical Systems

dc.contributor.authorBeketayev, Kenesen_US
dc.contributor.authorWeber, G. H.en_US
dc.contributor.authorHaranczyk, M.en_US
dc.contributor.authorBremer, P.-T.en_US
dc.contributor.authorHlawitschka, M.en_US
dc.contributor.authorHamann, B.en_US
dc.contributor.editorH. Hauser, H. Pfister, and J. J. van Wijken_US
dc.date.accessioned2014-02-21T20:23:19Z
dc.date.available2014-02-21T20:23:19Z
dc.date.issued2011en_US
dc.description.abstractStudying transformation in a chemical system by considering its energy as a function of coordinates of the system's components provides insight and changes our understanding of this process. Currently, a lack of effective visualization techniques for high-dimensional energy functions limits chemists to plot energy with respect to one or two coordinates at a time. In some complex systems, developing a comprehensive understanding requires new visualization techniques that show relationships between all coordinates at the same time. We propose a new visualization technique that combines concepts from topological analysis, multi-dimensional scaling, and graph layout to enable the analysis of energy functions for a wide range of molecular structures. We demonstrate our technique by studying the energy function of a dimer of formic and acetic acids and a LTA zeolite structure, in which we consider diffusion of methane.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume30en_US
dc.identifier.doi10.1111/j.1467-8659.2011.01915.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2011.01915.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectJ.2.4 [Computer Applications]en_US
dc.subjectPhysical Sciences and Engineeringen_US
dc.subjectChemistryen_US
dc.subjectI.3.8 [Computing Methodologies]en_US
dc.subjectComputer Graphicsen_US
dc.subjectApplicationsen_US
dc.titleTopology-based Visualization of Transformation Pathways in Complex Chemical Systemsen_US
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