Abstract：
:Recent decades have experienced the discovery of numerous complex materials. At the root of the complexity underlying many of these materials lies a large number of contending atomic- and largerscale configurations. In order to obtain a more detailed understanding of such systems, we need tools that enable the detection of pertinent structures on all spatial and temporal scales. Towards this end, we suggest a new method that applies to both static and dynamic systems which invokes ideas from network analysis and information theory. Our approach efficiently identifies basic unit cells, topological defects, and candidate natural structures. The method is particularly useful where a clear definition of order is lacking, and the identified features may constitute a natural point of departure for further analysis.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Ronhovde P,Chakrabarty S,Hu D,Sahu M,Sahu KK,Kelton KF,Mauro NA,Nussinov Zdoi
10.1038/srep00329subject
Has Abstractpub_date
2012-01-01 00:00:00pages
329issn
2045-2322journal_volume
2pub_type
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