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Materials Research Method using Smart Materials Informatics

Article of Honda R&D Technical Review Vol.29 No.1


The achievement of outcomes through the use of informatics techniques employing big data is today being reported. However, because of the lack of opportunities to obtain high volumes of data (upwards of several thousands or several tens of thousands of data), these techniques still present issues in terms of practical applicability. In the case of materials in particular, because it is necessary to evaluate characteristics following the creation of test pieces, obtaining upwards of several thousands or several tens of thousands of data is unrealistic. A Smart Materials Informatics method that would make it possible to make predictions based on even a limited amount of data was therefore defined. Study of the amount of data necessary for predictions showed that predictions could be made using only several tens to hundreds of data. The use of the new method in studying functional materials (catalyst, magnet, and thermoelectric materials) made it possible to identify materials possessing characteristics suited to their respective purposes in a short period of time, demonstrating the practical applicability of the method.


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Author (organization or company)

Atsushi FURUKAWA(Automobile R&D Center)、Tomohiro IKEDA(Automobile R&D Center)、Tatsuya OKAYAMA(Automobile R&D Center)

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