Abstract
Materials Curation®, which has been proposed by the author as a method to search materials by combining scientific principles in multi-diciplinary way, is reported. This method has been developed to overcome a problem that experimental or calculation data on materials in a issue are far below enough for big-data type analysis with machine learning. By utilizing scientific principles interdisciplinary, material search is made possible with data in a very small size.
