Proposed definition of crystal substructure and substructural similarity

There is a clear need for a practical and mathematically rigorous description of local structure in inorganic compounds so that structures and chemistries can be easily compared across large data sets. Here a method for decomposing crystal structures into substructures is given, and a similarity fun...

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Bibliographic Details
Main Authors: Yang, Lusann (Contributor), Ceder, Gerbrand (Contributor), Dacek, Stephen Thomas (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering (Contributor)
Format: Article
Language:English
Published: American Physical Society, 2014-08-11T17:53:13Z.
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Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Yang, Lusann  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Materials Science and Engineering  |e contributor 
100 1 0 |a Yang, Lusann  |e contributor 
100 1 0 |a Dacek, Stephen Thomas  |e contributor 
100 1 0 |a Ceder, Gerbrand  |e contributor 
700 1 0 |a Ceder, Gerbrand  |e author 
700 1 0 |a Dacek, Stephen Thomas  |e author 
245 0 0 |a Proposed definition of crystal substructure and substructural similarity 
260 |b American Physical Society,   |c 2014-08-11T17:53:13Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/88674 
520 |a There is a clear need for a practical and mathematically rigorous description of local structure in inorganic compounds so that structures and chemistries can be easily compared across large data sets. Here a method for decomposing crystal structures into substructures is given, and a similarity function between those substructures is defined. The similarity function is based on both geometric and chemical similarity. This construction allows for large-scale data mining of substructural properties, and the analysis of substructures and void spaces within crystal structures. The method is validated via the prediction of Li-ion intercalation sites for the oxides. Tested on databases of known Li-ion-containing oxides, the method reproduces all Li-ion sites in an oxide with a maximum of 4 incorrect guesses 80% of the time. 
520 |a National Science Foundation (U.S.) (SI2-SSI Collaborative Research program Award OCI-1147503) 
520 |a United States. Dept. of Energy. Office of Basic Energy Sciences (Grant EDCBEE) 
546 |a en 
655 7 |a Article 
773 |t Physical Review B