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.
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Takeuchi, I., Lippmaa, M. & Matsumoto, Y. Combinatorial Experimentation and Materials Informatics. MRS Bulletin 31, 999–1003 (2006). https://doi.org/10.1557/mrs2006.228
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DOI: https://doi.org/10.1557/mrs2006.228