Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Kino, Hiori"'
As interdisciplinary science is flourishing because of materials informatics and additional factors; a systematic way is required for expressing knowledge and facilitating communication between scientists in various fields. A function decomposition t
Externí odkaz:
http://arxiv.org/abs/2205.00829
Autor:
Nguyen, Duong-Nguyen, Pham, Tien-Lam, Nguyen, Viet-Cuong, Kino, Hiori, Miyake, Takashi, Dam, Hieu-Chi
We propose a data-driven method to extract dissimilarity between materials, with respect to a given target physical property. The technique is based on an ensemble method with Kernel ridge regression as the predicting model; multiple random subset sa
Externí odkaz:
http://arxiv.org/abs/2008.08818
Autor:
Pham, Tien-Lam, Nguyen, Duong-Nguyen, Ha, Minh-Quyet, Kino, Hiori, Miyake, Takashi, Dam, Hieu-Chi
New Nd-Fe-B crystal structures can be formed via the elemental substitution of LATX host structures, including lanthanides LA, transition metals T, and light elements X as B, C, N, and O. The 5967 samples of ternary LATX materials that are collected
Externí odkaz:
http://arxiv.org/abs/2008.08793
In this study, we establish a basis for selecting similarity measures when applying machine learning techniques to solve materials science problems. This selection is considered with an emphasis on the distinctiveness between materials that reflect t
Externí odkaz:
http://arxiv.org/abs/1903.10867
Autor:
Dam, Hieu Chi, Nguyen, Viet Cuong, Pham, Tien Lam, Nguyen, Anh Tuan, Terakura, Kiyoyuki, Miyake, Takashi, Kino, Hiori
We analyze Curie temperatures of rare-earth transition metal binary alloys with machine learning method. In order to select important descriptors and descriptor groups, we introduce newly developed subgroup relevance analysis and adopt the hierarchic
Externí odkaz:
http://arxiv.org/abs/1809.04750
Publikováno v:
J. Appl. Phys. 124, 163902 (2018)
We theoretically study the structural stability of $R$Fe$_{12}$ with the ThMn$_{12}$ structure ($R$: rare-earth elements, La, Pr, Nd, Sm, Gd, Dy, Ho, Er, Tm, Lu, Y, or Sc, or group-IV elements, Zr or Hf) based on density functional theory. The format
Externí odkaz:
http://arxiv.org/abs/1805.12241
Autor:
Pham, Tien Lam, Kino, Hiori, Terakura, Kiyoyuki, Miyake, Takashi, Takigawa, Ichigaku, Tsuda, Koji, Dam, Hieu Chi
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 representation can be highly useful in mining material data. Our experiment
Externí odkaz:
http://arxiv.org/abs/1705.01043
Autor:
Dam, Hieu Chi, Nguyen, Viet Cuong, Pham, Tien Lam, Nguyen, Anh Tuan, Kino, Hiori, Terakura, Kiyoyuki, Miyake, Takashi
The Curie temperature ($T_C$) of binary alloy compounds consisting of 3$d$ transition-metal and 4$f$ rare-earth elements is analyzed by a machine learning technique. We first demonstrate that nonlinear regression can accurately reproduce $T_C$ of the
Externí odkaz:
http://arxiv.org/abs/1705.00978
Publikováno v:
J. Appl. Phys. 120, 203904 (2016)
Recently synthesized NdFe12N has excellent magnetic properties, while it is thermodynamically unstable. Using first-principles method, we study the effect of substitutional 3d transition metal elements to the mother compound NdFe12. We find that Co h
Externí odkaz:
http://arxiv.org/abs/1609.07227
Autor:
Sakakibara, Hirofumi, Jang, Seung Woo, Kino, Hiori, Han, Myung Joon, Kuroki, Kazuhiko, Kotani, Takao
We present a new method to obtain interaction part of a model Hamiltonian from the result of the first-principles calculation. The effective interaction contained in the model is determined based on the random phase approximation (RPA). In contrast t
Externí odkaz:
http://arxiv.org/abs/1607.08336