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Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics
The proposed method was applied to materials informatics to demonstrate the systematic representation of expert knowledge and its usefullness.
Lattice dynamics effects on finite-temperature stability of $R_{1-x}$Fe$_{x}$ ($R$ = Y, Ce, Nd, Sm, and Dy) alloys from first principles
We report the effects of lattice dynamics on thermodynamic stability of binary $R_{1-x}$Fe$_x$ $(0<x<1)$ compounds ($R$: rare-earth elements, Y, Ce, Nd, Sm, and Dy) at finite temperature predicted by first-principles calculation based on density functional theory (DFT).
Materials Science Computational Physics
Evolutionary search for cobalt-rich compounds in the yttrium-cobalt-boron system
Modern high-performance permanent magnets are made from alloys of rare earth and transition metal elements, and large magnetization is achieved in the alloys with high concentration of transition metals.
Materials Science
Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature
We propose a data-driven method to extract dissimilarity between materials, with respect to a given target physical property.
Measuring the Similarity between Materials with an Emphasis on the Materials Distinctiveness
In this study, we establish a basis for selecting similarity measures when applying machine learning techniques to solve materials science problems.
