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|a Yang, Lusann
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|a Massachusetts Institute of Technology. Department of Materials Science and Engineering
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|a Yang, Lusann
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|a Dacek, Stephen Thomas
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|a Ceder, Gerbrand
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|a Ceder, Gerbrand
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|a Dacek, Stephen Thomas
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|a Proposed definition of crystal substructure and substructural similarity
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|b American Physical Society,
|c 2014-08-11T17:53:13Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/88674
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|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.
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|a National Science Foundation (U.S.) (SI2-SSI Collaborative Research program Award OCI-1147503)
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|a United States. Dept. of Energy. Office of Basic Energy Sciences (Grant EDCBEE)
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|a en
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|a Article
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|t Physical Review B
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