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Combinatorial Experimentation and Materials Informatics

Published online by Cambridge University Press:  31 January 2011

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Abstract

High-throughput experimentation is effective in systematically producing large and diverse data sets. The marriage of combinatorial materials science and informatics is a natural one, and results are beginning to emerge from the integration of elements of materials informatics with data from combinatorial libraries. We discuss data management issues in high-throughput experimentation and highlight recent examples where data-mining tools are being implemented for extracting knowledge and predicting new compounds, with an emphasis on electronic materials.

Type
Research Article
Copyright
Copyright © Materials Research Society 2006

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