Session Details

[G]Computatational Materials Science / Data Science

Thu. Sep 21, 2023 9:30 AM - 11:45 AM JST
Thu. Sep 21, 2023 12:30 AM - 2:45 AM UTC
Rm. L 3rd Flr. Education and Research Building, School of Engineering
Chair:Momoji Kubo
※表示の講演時間には質疑応答時間も含みます。
(質疑応答時間5分、基調講演と招待講演は5~10分)

[306]The effects of lattice relaxations on Cu-Au phase equilibria

*Tetsuo MOHRI1, Ying CHEN2, Toshiaki HORIUCHI3 (1. Hokkaido Univ., 2. Tohoku Unv., 3. Hokkaido Univ. Science)

[307]Kanzaki force and Born von Karman tensor in the Cu-Au system

*Tetsuo MOHRI1 (1. Hokkaido Univ.)

[308]Study of Ti-Al-Nb alloys by the cluster-expansion method

*Yuta Maruo1, Hirotoyo Nakashima2, Masao Takeyama2, Yoshihiro Gohda2 (1. Dept. Mater. Sci. Eng., Tokyo Tech (M2), 2. Dept. Mater. Sci. Eng., Tokyo Tech)

[309]Exhaustive Search for Ferroelectrics Based on High-Throughput First-Principles Calculations

*Daisuke Hirai1, Tomoki Murata1, Sakyo Hirose1 (1. Murata Manufacturing Co., Ltd.)

break

[310]Microscopic interface structure of Ni-based superalloys upon AM solidification

*REN YOSHII1, SUSUMU FUJII1,2, MASATO YOSHIYA1,2 (1. 大阪大学大学院工学研究科マテリアル生産科学専攻、2. 異方性カスタム設計・AM研究開発センター)

[311]Derivation of Interatomic Potentials and Calculations of Thermal Conductivity for Cu-Zn-Sn-S quasi-ternary sulfides

*Ryuki AKITAKE1, Susumu FUJII1,2, Yoshiya MASATO1,2 (1. 大阪大学 大学院工学研究科 マテリアル生産科学専攻、2. JFCC ナノ構造研究所)

[312]Dominant factors determining atomic structure and lattice thermal conductivity in Si grain boundary using machine learning potential

*Iori TANAKA1, Susumu FUJII2,3, Masato YOSHIYA2,3 (1. Graduate school, Osaka Univ., 2. Osaka Univ., 3. JFCC)

[313]Global crystal structure prediction using machine learning potential in the binary Al−Cu alloy system

*Hayato WAKAI1, Atsuto SEKO1, Isao TANAKA1 (1. Kyoto Univ.)