一般講演

[G] Computational Science/Computational materials science and engineering

Fri. Sep 18, 2020 9:00 AM - 10:35 AM Rm. F (ZoomRm.F)

Chair: Sub Chairman (assistant):

※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、基調講演と村上記念賞受賞講演は5～10分）

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9:00 AM - 9:15 AM

[22] Competitive and collaborative phase transition within Cluster Variation Method

*Tetsuo MOHRI¹ (1. IMR, Tohoku University1 (Present: Hokkaido University）)

9:15 AM - 9:30 AM

[23] Controlling of Noise in Phase-field Simulation for Nucleation

*Keisuke Haraguchi¹, Munekazu Ohno² (1. Hokkaido Univ., 2. Hokkaido Univ.)

9:30 AM - 9:45 AM

[24] Molecular Dynamics Simulation on Phase Transition of Pure Iron in Yield Precursor

*Qian Chen¹, Yang Wang², Yusuke Ootani¹, Nobuki Ozawa¹, Momoji Kubo¹ (1. Institute for Materials Research, Tohoku Univ., 2. Graduate School of Engineering, Tohoku Univ.)

9:45 AM - 10:00 AM

[25] First-principles Study of Stability of Cristobalite Structures in SiO₂ (2)

*Ying CHEN¹, Nguyen-Dung Tran¹, Hao Wang², Masanori Kohyama³, Satoshi Kitaoka⁴, Tetsuo Mohri⁵ (1. School of Engineering, Tohoku University, 2. Shanghai University, 3. AIST(Kansai), 4. JFCC, 5. IMR Tohoku University)

10:00 AM - 10:15 AM

[26] Electronic state calculation for CuFeTiZr-Ni_x High Entropy Alloys

*Ryo OKUMURA¹, Satoshi Iikubo², Po-Cheng Kou³, Yee-Wen Yen³ (1. Kyutech, 2. Kyutech, 3. NTUST)

break （10:15 AM - 10:35 AM）

一般講演

[G] Data science (1)

Fri. Sep 18, 2020 10:40 AM - 11:40 AM Rm. F (ZoomRm.F)

Chair: Sub Chairman (assistant):Chen Ying

※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、基調講演と村上記念賞受賞講演は5～10分）

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10:40 AM - 10:55 AM

[27] Atomic Descriptors Generated from Coordination Structures

*Yuki INADA¹, Yukari KATSURA^2,3,4, Masaya KUMAGAI^4,5,6, Kaoru KIMURA² (1. Univ. Tokyo (M2), 2. Univ. Tokyo, 3. NIMS, 4. RIKEN, 5. Sakura Internet Inc., 6. Kyoto Univ.)

10:55 AM - 11:10 AM

[28] Automatic Quantitative Evaluation of Analysis Images Using Deep Learning

*Sota Kato¹, Kazuhiro Hotta¹, Tetsushi Watari², Yuta Yamakita² (1. Meijo University, 2. TOYOTA MOTOR CORPORATION)

11:10 AM - 11:25 AM

[29] Classification of Microstructures of Al-Si Casting Alloy in Different Solidification Rate with Machine Learning Technique

*Zixiang QIU¹, Kenjiro SUGIO², Gen SASAKI² (1. 広島大工（院生）、2. 広島大工)

11:25 AM - 11:40 AM

[30] Parameter estimation based on microstructure evolution during spinodal decomposition in glass system

*Yuki MATSUURA¹, Yuhki TSUKADA², Toshiyuki KOYAMA², Katsuaki NAKAZAWA³, Teruyasu MIZOGUCHI⁴ (1. Nagoya Univ., 2. Nagoya Univ., 3. The Univ. of Tokyo, 4. The Univ. of Tokyo)

一般講演

[G] Data Science

Fri. Sep 18, 2020 1:00 PM - 2:00 PM Rm. F (ZoomRm.F)

Chair: Sub Chairman (assistant):

※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、基調講演と村上記念賞受賞講演は5～10分）

+Add all to schedule

1:00 PM - 1:15 PM

[31] Correlation analysis between laser conditions and relative density of additively manufactured Al-12Si alloy by machine learning

*Asuka SUZUKI¹, Tatsuya MIYASAKA², Naoki TAKATA¹, Makoto KOBASHI¹, Masaki KATO³, Hiroshi WAKAMEDA⁴, Sukeharu NOMOTO⁵, Yusuke SHIMONO⁴ (1. Nagoya University, 2. Nagoya University (M2), 3. Aichi Center for Industry and Science Technology, 4. CTC, 5. CTC (Present: NIMS))

1:15 PM - 1:30 PM

[32] Machine-learning investigation for creep life of high-Cr Steel considering the heat treatment process

*Kaoru Nakamura¹, Toshiharu Ohnuma¹ (1. CRIEPI)

1:30 PM - 1:45 PM

[33] Optimization of the Parameter in Huddleston Stress for Creep Rupture Time Evaluation of 2 1/4Cr-1Mo Weld Joints

*Hitoshi IZUNO¹, Masahiko DEMURA¹, Masayoshi YAMAZAKI¹, Masaaki TABUCHI², Daisuke ABE³, Keisuke TORIGATA³ (1. NIMS MaDIS, 2. NIMS RCSM, 3. IHI)

1:45 PM - 2:00 PM

[34] Welding process optimization to meet the required creep performance

*Daisuke ABE¹, Keisuke TORIGATA¹, Masahiko DEMURA², Hitoshi IZUNO² (1. IHI, 2. NIMS MaDIS)

ポスターセッション

[P] P12

Tue. Sep 15, 2020 9:00 AM - 11:00 AM ZoomRm.Poster

[P12] Molecular dynamics study on polytype formation mechanism for metallic systems :Ⅱ

*Shinya OGANE¹, Koji Moriguchi¹ (1. Tohoku Univ.)

ポスターセッション

[P] P49

Tue. Sep 15, 2020 11:10 AM - 1:10 PM ZoomRm.Poster

[P49] Monte Carlo simulations of atomic arrangement in refractory high entropy alloy

*Hiroto Oono¹, Satoshi Takizawa², seiji Miura² (1. Hokkaido Univ., 2. Hokkaido Univ.)

Sessions

11.Computational Science » Computational Science

[G] Computational Science/Computational materials science and engineering

[22] Competitive and collaborative phase transition within Cluster Variation Method

[23] Controlling of Noise in Phase-field Simulation for Nucleation

[24] Molecular Dynamics Simulation on Phase Transition of Pure Iron in Yield Precursor

[25] First-principles Study of Stability of Cristobalite Structures in SiO₂ (2)

[26] Electronic state calculation for CuFeTiZr-Ni_x High Entropy Alloys

[G] Data science (1)

[27] Atomic Descriptors Generated from Coordination Structures

[28] Automatic Quantitative Evaluation of Analysis Images Using Deep Learning

[29] Classification of Microstructures of Al-Si Casting Alloy in Different Solidification Rate with Machine Learning Technique

[30] Parameter estimation based on microstructure evolution during spinodal decomposition in glass system

[G] Data Science

[31] Correlation analysis between laser conditions and relative density of additively manufactured Al-12Si alloy by machine learning

[32] Machine-learning investigation for creep life of high-Cr Steel considering the heat treatment process

[33] Optimization of the Parameter in Huddleston Stress for Creep Rupture Time Evaluation of 2 1/4Cr-1Mo Weld Joints

[34] Welding process optimization to meet the required creep performance

[P] P12

[P12] Molecular dynamics study on polytype formation mechanism for metallic systems :Ⅱ

[P] P49

[P49] Monte Carlo simulations of atomic arrangement in refractory high entropy alloy

Authentication