日本金属学会2021年秋期(第169回)講演大会
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Session Details

一般講演11.Computational Science : Data Science

[G]Data Science

Wed. Sep 15, 2021 1:00 PM - 4:25 PM JST
Wed. Sep 15, 2021 4:00 AM - 7:25 AM UTC
Rm. F ZoomRm.F
座長:出村 雅彦(国立研究開発法人　物質・材料研究機構)、上杉 徳照(大阪府立大学)、塚田 祐貴(名古屋大学)
※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）
1:00 PM - 1:15 PM JST(4:00 AM - 4:15 AM UTC)

[112]Machine Learning to Predict New Quasicrystals

*Chang Liu1, Erina Fujita2, Yukari Katsura2, Yuki Inada2, Asuka Ishikawa3, Ryuji Tamura3, Kaoru Kimura2, Ryo Yoshida1,4,5 (1. The Institute of Statistical Mathematics, 2. The University of Tokyo, 3. Tokyo University of Science, 4. Graduate University for Advanced Studies, 5. National Institute for Materials Science)
1:15 PM - 1:30 PM JST(4:15 AM - 4:30 AM UTC)

[113]Parallel Synthesis Method for Solid-State Reaction Route

Takahiro SUGA1, Masayuki SHIGEOKA1, *Hiroyuki HAYASHI2,3, Isao TANAKA2 (1. Kyoto Univ., 2. Kyoto Univ., 3. JST PRESTO)
1:30 PM - 1:45 PM JST(4:30 AM - 4:45 AM UTC)

[114]Automated Pipetting Robot for Polymerized Complex Method Linked to Synthesis-Condition Recommender System

*Daiki UKAWA1, Kouhei NISHI, Hiroyuki HAYASHI1,2, Isao TANAKA1 (1. Kyoto Univ., 2. JST PRESTO)
1:45 PM - 2:05 PM JST(4:45 AM - 5:05 AM UTC)

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2:05 PM - 2:20 PM JST(5:05 AM - 5:20 AM UTC)

[115]Prediction of interatomic force using machine learning

*Naoki MIYAZAWA1, Toshiki ARIGA2, Kenichi NAGAYAMA3, Susumu ONAKA1 (1. 東工大物質理工、2. 東工大物質理工（院生）、3. 東工大物質理工（学生）)
2:20 PM - 2:35 PM JST(5:20 AM - 5:35 AM UTC)

[116]Optimization of prediction model for elastic constants of high entropy alloys by using genetic algorithm

*Genta HAYASHI1, Katsuhiro SUZUKI1, Tomoyuki TERAI1, Hitoshi FUJII2, Kazunori SATO1 (1. Osaka Univ., 2. Univ. of Hyogo)
2:35 PM - 2:50 PM JST(5:35 AM - 5:50 AM UTC)

[117]Design of Optimal Features Based on X-ray Diffraction Patterns for Prediction of Mechanical Properties

*Naoki Hato1, Masaya Kumagai2,3,4, Ken Kurosaki2,5 (1. Kyoto Univ., 2. Kyoto Univ., 3. SAKURA internet, 4. RIKEN, 5. Univ. of Fukui)
2:50 PM - 3:05 PM JST(5:50 AM - 6:05 AM UTC)

[118]An integrated approach for numerically predicting the failure behaviour of resistance spot welding in dual-phase steel

*Hui WANG1, Tadashi Kasuya2, Takaaki Kondo3, Junya Inoue1,2 (1. The University of Tokyo, Inst. for Industrial Science、2. The University of Tokyo, Graduate School of Engineering、3. Nissan Motor Corporation)
3:05 PM - 3:25 PM JST(6:05 AM - 6:25 AM UTC)

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3:25 PM - 3:40 PM JST(6:25 AM - 6:40 AM UTC)

[119]Automatic Method for Measuring Grain Size Using CNN with Weighted Cross Entropy

Ryoga MURAKAMI1, *Tokuteru UESUGI2 (1. 大阪府大人社シス（院生）、2. 大阪府大人社シス)
3:40 PM - 3:55 PM JST(6:40 AM - 6:55 AM UTC)

[120]A deep learning framework for predicting material microstructures with stochastic heterogeneity

*Satoshi NOGUCHI1, Junya INOUE2 (1. The Univ. of Tokyo (Graduate student), 2. IIS, the Univ. of Tokyo)
3:55 PM - 4:10 PM JST(6:55 AM - 7:10 AM UTC)

[121]Unsupervised steel microstructure segmentation using data mining methods

*Hoheok KIM1, Yuuki Arisato2, Tadashi Kasuya2, Junya Inoue1,2 (1. Institute of Industrial Science, Univ. of Tokyo, 2. Graduate school of engineering, Univ. of Tokyo)
4:10 PM - 4:25 PM JST(7:10 AM - 7:25 AM UTC)

[122]Microstructural Classification of Unmodified and Sr Modified Al-Si-Mg Casting Alloy with Machine Learning Techniques

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