Data Mining and Materials Informatics


Materials science seeks to understand structure-property relationships, which can be very complex and difficult to discover. “Materials Informatics” can enable one to survey complex, multiscale information in a high throughput, statistically robust, and yet physically meaningful manner. The application of such approaches can have a significant impact in materials design and discovery. While informatics is well established in fields such as biology, drug discovery, astronomy and quantitative social sciences, its applications to materials science problems is relatively new. This presentation will demonstrate examples of how the use of data mining techniques in a wide array of materials science problems can help to address the challenges of informational complexity. Examples are provided in numerous areas including crystallography, materials imaging and spectroscopy.

 

Krishna Rajan, Iowa State University

 

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