6 citations · 9 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2017
Machine learning reveals orbital interaction in crystalline materials
Tien Lam Pham, Hiori Kino, Kiyoyuki Terakura +4
We propose a novel representation of crystalline materials named orbital-field matrix (OFM) based on the distribution of valence shell electrons. We demonstrate that this new repre…
cond-mat.mtrl-sci2017
A regression-based feature selection study of the Curie temperature of transition-metal rare-earth compounds: prediction and understanding
Hieu Chi Dam, Viet Cuong Nguyen, Tien Lam Pham +4
The Curie temperature () of binary alloy compounds consisting of 3 transition-metal and 4 rare-earth elements is analyzed by a machine learning technique. We first demon…