Combinatorial experimentation and materials informatics

Ichiro Takeuchi, Mikk Lippmaa, Yuji Matsumoto

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


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
Issue number12
Publication statusPublished - 2006 Dec


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


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