Materials Classification & Accelerated Property Predictions using Machine Learning [electronic resource]

Examine reliability of ML methods for “small” data sets and potenial for new insights – role of excess effective born charge as a feature.

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Bibliographic Details
Online Access:	Online Access
Corporate Author:	Los Alamos National Laboratory (Researcher)
Format:	Government Document Electronic eBook
Language:	English
Published:	Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2015.
Subjects:	Materials Science(36).

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Call Number:	E 1.99:la-ur--15-24327
E 1.99:la-ur--15-24327	Available