Session Details

[G]Computational Materials Science and Data Science

Sun. Mar 9, 2025 1:30 PM - 5:00 PM JST
Sun. Mar 9, 2025 4:30 AM - 8:00 AM UTC
Room M(202 2nd floor Building No.12)
Chair:合田 義弘(東京科学大学)、井上 純哉(東京大学)、源 聡(独立行政法人 物質・材料研究機構)
※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)

[338]DFT Study of the precipitation behavior of α-Cu4Ti in Cu-Ti alloys with various additives

*Eun-Ae Choi1, Seung Zeon Han1 (1. Korea Institute of Materials Science)
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[339]On the concentration dependency in solid solution hardening

*Tetsuo MOHRI1 (1. Hokkaido University)
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[340]GPU implementation of QSGW method applied to crystal structures in database

Shota Takano1, Masao Obata6, *Kotani TAKAO3,4, Harutaka Saito1, Kazunori Sato2,4,5, Tatsuki Oda6 (1. Osaka Univ.(M), 2. Osaka Univ., 3. Tottori Univ., 4. CSRN-Osaka, 5. OTRI-Spintronics Research Network Division, 6. Kanazawa Univ.)
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[341]Topological order of atomic clusters in Cu64Zr36 metalic glasses

*Yutaro SATOMI1, Akihiko Hirata1 (1. Faculty of Science and Engineering, Waseda University)
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[342]Development of Autonomous Material Discovery Algorithm Utilizing Graph Neural Networks

*Ryotaro YOSHII1, Akira TAKAHASHI1, Meikin CYOU1, Yu KUMAGAI2, Fumiyasu OBA1 (1. IIR, MSL, Science Tokyo, 2. IMR, Tohoku Univ.)
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[343]Development of Methods for Automated Material Classification and Feature Extraction from Promising Material Groups Based on Multiple Material Properties

*Akira TAKAHASHI1, Yu KUMAGAI2, Wataru KUDO3, Fumiyasu OBA1,4 (1. MSL, IIR, Science Tokyo, 2. IMR, Tohoku Univ., 3. MSL, IIR, Science Tokyo, 4. MDXES, IIR, Science Tokyo)
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[344]A Study on the parameters to Search High-concentrated Solid Solutions

*Seiji MIURA1, Syuki Yamanaka1, Satoshi Takizawa1, Ken-ichi Ikeda1, Ryo Murakami2, Akihiko Endo2, Satoshi Minamoto2 (1. Hokkaido Univ., 2. NIMS)
Comment()

[345]Approach to building interpretable prediction model for high-entropy alloys

*Ryo Murakami1, Seiji Miura2, Syuki Yamanaka2,3, Akihiro Endo1, Satoshi Minamoto1 (1. NIMS, 2. Hokkaido University, 3. (Present: Bridgestone Corporation))
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[346]Deep learning-based strategies for linking heat treatment conditions, microstructure, and properties

*Hoheok KIM1, Junwoo KANG1, Seong-Hoon KANG1 (1. Korea institute of materials science)
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[347]Electronic Structure Calculation and Machine Learning Prediction: Extension from Cantor-derived High Entropy Alloys

*Ying CHEN1, Nguyen-Dung TRAN1, Yibo SUN2, Jun NI2 (1. Tohoku University, 2. Tsinghua University)
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[348]Integration of FEM Simulation, Machine Learning and Micro-Compression Testing for Evaluating Mechanical Properties of Micro-Powders

*TAO ZHANG1, WEIWEI ZHOU2, NAOYUKI NOMURA2 (1. Graduated School,Tohoku Univ., 2. Tohoku Univ.)
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[349]Stain-free STEM-EELS chemical imaging of polymer alloys using cluster analysis of low-loss spectra

*Shunsuke MUTO1,2, Hiroki UMEMOTO2,3 (1. IMaSS, Nagoya University, 2. Graduate School of Engineering, Nagoya University, 3. Asahi-kasei Corporation)
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