Machine learning reveals orbital interaction in materials

We propose a novel representation of materials named an ‘orbital-field matrix (OFM)’, which is based on the distribution of valence shell electrons. We demonstrate that this new representation can be highly useful in mining material data. Experimental investigation shows that the formation energies...

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Bibliographic Details
Main Authors: Tien Lam Pham, Hiori Kino, Kiyoyuki Terakura, Takashi Miyake, Koji Tsuda, Ichigaku Takigawa, Hieu Chi Dam
Format: Article
Language:English
Published: Taylor & Francis Group 2017-12-01
Series:Science and Technology of Advanced Materials
Subjects:
Online Access:http://dx.doi.org/10.1080/14686996.2017.1378060