一般講演

[G] Data Science

Wed. Sep 15, 2021 1:00 PM - 4:25 PM 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）

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1:00 PM - 1:15 PM

[112] Machine Learning to Predict New Quasicrystals

*Chang Liu¹, Erina Fujita², Yukari Katsura², Yuki Inada², Asuka Ishikawa³, Ryuji Tamura³, Kaoru Kimura², Ryo Yoshida^1,4,5 (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

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

Takahiro SUGA¹, Masayuki SHIGEOKA¹, *Hiroyuki HAYASHI^2,3, Isao TANAKA² (1. Kyoto Univ., 2. Kyoto Univ., 3. JST PRESTO)

1:30 PM - 1:45 PM

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

*Daiki UKAWA¹, Kouhei NISHI, Hiroyuki HAYASHI^1,2, Isao TANAKA¹ (1. Kyoto Univ., 2. JST PRESTO)

break （1:45 PM - 2:05 PM）

2:05 PM - 2:20 PM

[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

[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

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

*Naoki Hato¹, Masaya Kumagai^2,3,4, Ken Kurosaki^2,5 (1. Kyoto Univ., 2. Kyoto Univ., 3. SAKURA internet, 4. RIKEN, 5. Univ. of Fukui)

2:50 PM - 3:05 PM

[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 Inoue^1,2 (1. The University of Tokyo, Inst. for Industrial Science、2. The University of Tokyo, Graduate School of Engineering、3. Nissan Motor Corporation)

break （3:05 PM - 3:25 PM）

3:25 PM - 3:40 PM

[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

[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

[121] Unsupervised steel microstructure segmentation using data mining methods

*Hoheok KIM¹, Yuuki Arisato², Tadashi Kasuya², Junya Inoue^1,2 (1. Institute of Industrial Science, Univ. of Tokyo, 2. Graduate school of engineering, Univ. of Tokyo)

4:10 PM - 4:25 PM

[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)

Sessions

11.Computational Science » Data Science