activity
20032021
most citedDynamical Mean-Field Theory within an Augmented Plane-Wave Framework: Assessing Electronic Correlations in the Iron Pnictide LaFeAsO

368 citations · 4.8k across the 72 of their papers we have counts for

collaborators

72 papers

cond-mat.mtrl-sci2021★ 4 cited

First-principles study on the stability of (, Zr)(Fe, Co, Ti) against 2-17 and unary phases ( = Y, Nd, Sm)

Taro Fukazawa, Yosuke Harashima, Takashi Miyake

The stability of (, Zr)(Fe, Co, Ti) with a ThMn structure is investigated using first-principles calculations. We consider energetic competition with multiple phas…

cond-mat.mtrl-sci2021

First-principles investigation of Nd(Fe,M)12 (M = K--Br) and Nd(Fe,Cr,Co,Ni,Ge,As)12: Possible enhancers of Curie temperature for NdFe12 magnetic compounds

Taro Fukazawa, Hisazumi Akai, Yosuke Harashima +1

We investigate the effects of various dopants (M = K--Br) on the Curie temperature of the magnetic compound NdFe12 through first-principles calculations. Analysis by the Korringa--…

cond-mat.mtrl-sci2021★ 13 cited

Lattice dynamics effects on finite-temperature stability of Fe ( = Y, Ce, Nd, Sm, and Dy) alloys from first principles

Guangzong Xing, Takahiro Ishikawa, Yoshio Miura +2

We report the effects of lattice dynamics on thermodynamic stability of binary Fe compounds (: rare-earth elements, Y, Ce, Nd, Sm, and Dy) at finite tempe…

cond-mat.mtrl-sci2021★ 6 cited

Evolutionary search for cobalt-rich compounds in the yttrium-cobalt-boron system

Takahiro Ishikawa, Taro Fukazawa, Guangzong Xing +2

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 concentratio…

cond-mat.mtrl-sci2020★ 7 cited

Spin-wave dispersion and exchange stiffness in NdFeB and FeTi (=Y, Nd, Sm) from first-principles calculations

Taro Fukazawa, Hisazumi Akai, Yosuke Harashima +1

We theoretically investigate spin-wave dispersion in rare-earth magnet compounds by using first-principles calculations and a method we call the reciprocal-space algorithm (RSA). T…

stat.ML2020

Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature

Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen +3

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 Kern…