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Informatics for Crystallography: Designing Structure Maps

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

This chapter provides a discussion of how informatics tools can address one of the fundamental historical developments in crystal chemistry, that of structure maps. Such maps serve as a means to explore how specific parameters associated with crystal and electronic structure can serve as a way to rationalize groupings, or classifications, relating structure and chemistry. Historically, structure maps have evolved through a variety of heuristic approaches that define a priori how parameters may be important, and then classifications are discovered as one populates these maps with data. The resulting clustering of data serves as a heuristic tool to rationalize new discoveries and new structure-bonding relationships.

Original languageEnglish
Title of host publicationInformatics for Materials Science and Engineering
Subtitle of host publicationData-Driven Discovery for Accelerated Experimentation and Application
PublisherElsevier Inc.
Pages365-383
Number of pages19
ISBN (Print)9780123943996
DOIs
StatePublished - 2013

Keywords

  • Crystal chemistry
  • Crystallography
  • Data mining
  • Structure maps

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