Combinatorial experimentation and materials informatics

Ichiro Takeuchi, Mikk Lippmaa, Yuji Matsumoto

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)999-1003
Number of pages5
JournalMRS Bulletin
Volume31
Issue number12
DOIs
Publication statusPublished - 2006 Dec
Externally publishedYes

Keywords

  • Catalytic
  • Combinatorial methods
  • Electronic material
  • Ferroelectric
  • Informatics
  • Magnetic properties
  • Thin film

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Physical and Theoretical Chemistry

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