Combinatorial experimentation and materials informatics

Ichiro Takeuchi, Mikk Lippmaa, Yuji Matsumoto

研究成果: Article査読

19 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)999-1003
ページ数5
ジャーナルMRS Bulletin
31
12
DOI
出版ステータスPublished - 2006 12月
外部発表はい

ASJC Scopus subject areas

  • 材料科学(全般)
  • 凝縮系物理学
  • 物理化学および理論化学

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