Paper
15 January 2007 Materials discovery: informatic strategies for optical materials
Kim F. Ferris, Bobbie-Jo M. Webb-Robertson, Dumont M. Jones
Author Affiliations +
Abstract
Information-based materials discovery offers a structured method to evolve materials signatures based upon their physical properties, and to direct searches using performance-based criteria. In this current paper, we focus on the crystal structure aspects of an optical material and construct an information-based model to determine the proclivity of a particular AB composition to exhibit multiple crystal system behavior. Exploratory data methods used both supervised (support-vector machines) and unsupervised (disorder-reduction and principal-component) classification methods for structural signature development; revealing complementary valid signatures. Examination of the relative contributions of the materials chemistry descriptors within these signatures indicates a strong role for Mendeleev number chemistry which must be balanced against the cationic/anionic radius ratio and electronegativity differences of constituents within the unit cell.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kim F. Ferris, Bobbie-Jo M. Webb-Robertson, and Dumont M. Jones "Materials discovery: informatic strategies for optical materials", Proc. SPIE 6403, Laser-Induced Damage in Optical Materials: 2006, 64032A (15 January 2007); https://doi.org/10.1117/12.719514
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KEYWORDS
Crystals

Chemistry

Principal component analysis

Data modeling

Information science

Nonlinear crystals

Crystallography

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