Data-mined similarity function between material compositions
A new method for assessing the similarity of material compositions is described. A similarity measure is important for the classification and clustering of compositions. The similarity of the material compositions is calculated utilizing a data-mined ionic substitutional similarity based upon the pr...
Main Authors: | Yang, Lusann, Ceder, Gerbrand |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Materials Science and Engineering |
Format: | Article |
Language: | en_US |
Published: |
American Physical Society
2014
|
Online Access: | http://hdl.handle.net/1721.1/88962 |
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