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Topology‐based Visualization of Transformation Pathways in Complex Chemical Systems
Authors:K Beketayev  GH Weber  M Haranczyk  P‐T Bremer  M Hlawitschka  B Hamann
Affiliation:1. Computational Research Division, Lawrence Berkeley National Laboratory;2. Institute for Data Analysis and Visualization, Department of Computer Science, University of California, Davis;3. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory
Abstract:Studying 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.
Keywords:J  2  4 [Computer Applications]: Physical Sciences and Engineering  Chemistry I  3  8 [Computing Methodologies]: Computer Graphics  Applications
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