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Filtering by: Creator Ankit Agrawal Type Work Keyword materials for energy and catalysis Collection Northwestern Open Access Fund Publisher Springer Nature

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1. A general-purpose machine learning framework for predicting properties of inorganic materials

Description:: A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data. While prior examples have demonstrated successful models for some applications, many more applications exist where machine learning can make a strong impact. To enable faster development...
Keyword:: computational methods, materials for energy and catalysis, and glasses
Creator:: Alok Choudhary, Logan Ward, Christopher Wolverton, and Ankit Agrawal
Owner:: Chris Diaz
Publisher:: Springer Nature
Date Uploaded:: 05/08/2017
Date Modified:: 05/08/2017
Date Created:: 2016-08-26
Resource Type:: Article

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1. A general-purpose machine learning framework for predicting properties of inorganic materials