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Combinatorial Experimentation and Materials Informatics

Published online by Cambridge University Press:  31 January 2011

Ichiro Takeuchi ,
Mikk Lippmaa  and
Yuji Matsumoto
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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.

Keywords

catalyticcombinatorial methodselectronic materialferroelectricinformaticsmagnetic propertiesthin film
Type
Research Article
Information
MRS Bulletin , Volume 31 , Issue 12: Materials Informatics , December 2006 , pp. 999 - 1003
Copyright
Copyright © Materials Research Society 2006

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