Oral Session

F. Functional & Structural » [F-1] Future prospect of DX-driven development in structural materials

[F1-O401] Oral 401

2023年12月14日(木) 09:00 〜 12:00 Session 13 (Room I)

Chair: Katsunari Oikawa (Tohoku Univ.), Kenji Nagata (National Institute for Materials Science)

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09:00 〜 09:30

[F1-O401-01 (Symposium Keynote)] Heat-to-Heat Variation of Creep Rupture Strength in Heat Resistant Steels

*Kota Sawada¹, Kazuhiro Kimura¹ (1. National Institute for Materials Science (Japan))

09:30 〜 09:50

[F1-O401-02] Precipitate segmentation for metal temperature estimation using deep learning

*Yuki Sasaki¹, Akihiro Endo², Kota Sawada², Kenji Nagata², Hayaru Shouno¹ (1. University of Electro-Communications (Japan), 2. National Institute for Materials Science (Japan))

09:50 〜 10:10

[F1-O401-03] Stability and structural properties of transition metal high entropy alloys: from First-principles and machine learning

*Ying Chen¹, Nguyen-Dung Tran¹, Chang Liu², Xinming Wang³, Jun Ni³ (1. School of Engineering, Tohoku University (Japan), 2. Institute of Statistical Mathematics (Japan), 3. Department of Physics, Tsinghua University (China))

Break (10:10 〜 10:30)

10:30 〜 11:00

[F1-O401-04 (Symposium Invited)] Foundation of Data Assimilation and Its Application to Phase-Field Models

*Hiromichi Nagao¹, Shin-ichi Ito¹ (1. Univ. of Tokyo (Japan))

11:00 〜 11:20

[F1-O401-05] Topological Data Analysis of Complex Metal Structure in SEM Images and Construction of Regression Models for Mechanical Properties

*Kazuto Akagi¹, Yasumasa Nishiura¹ (1. Tohoku Univ. (Japan))

11:20 〜 11:40

[F1-O401-06] Estimating steel microstructures by deep learning framework combined with phase transformation model

*Satoshi Noguchi¹, Syuji Aihara², Junya Inoue³ (1. Res. Inst. for Value-added Information Generation, Japan Agency for Marine-Earth Science and Technology (Japan), 2. The Univ. of Tokyo (Japan), 3. Department of Material Eng., The Univ. of Tokyo (Japan))

11:40 〜 12:00

[F1-O401-07] Critical Assessment of AI-Founded Non-Isothermal Aging Treatment Schedules for Improving 0.2% Proof Stress in Binary Ni-Al Alloys

*VICKEY NANDAL¹, SAE DIEB¹, DMITRY S. BULGAREVICH¹, TOSHIO OSADA¹, TOSHIYUKI KOYAMA², SATOSHI MINAMOTO¹, MASAHIKO DEMURA¹ (1. NATIONAL INSTITUTE FOR MATERIALS SCIENCE (NIMS) (Japan), 2. NAGOYA UNIVERSITY (Japan))

セッション情報