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Materials Prediction via Classification Learning

In the paradigm of materials informatics for accelerated materials discovery, the choice of feature set (i.e. attributes that capture aspects of structure, chemistry and/or bonding) is critical. Ideally, the feature sets should provide a simple physical basis for extracting major structural and chem...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Sci Rep
Main Authors: Balachandran, Prasanna V., Theiler, James, Rondinelli, James M., Lookman, Turab
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group 2015
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4548442/
https://ncbi.nlm.nih.gov/pubmed/26304800
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep13285
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