Oral presentation

23 Joint Session N "Informatics" » 23.1 Joint Session N "Informatics"

[22p-M206-1~16] 23.1 Joint Session N "Informatics"

Thu. Sep 22, 2022 1:30 PM - 6:00 PM M206 (Multimedia Research Hall)

Toyohiro Chikyo(NIMS), Isao Ohkubo(NIMS), Shigetaka Tomiya(SONY Corp.)

△：Presentation by Applicant for JSAP Young Scientists Presentation Award
▲：English Presentation
▼：Both of Above
No Mark：None of Above

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1:30 PM - 1:45 PM

[22p-M206-1] [Young Scientist Presentation Award Speech] Sparse-Modeling based Bayesian Optimization Algorithm for Experimental Design and Prospect of Optimization for Chemical Additives

〇Ryuji Masui¹, Unseo Lee¹, Ryo Nakayama², Taro Hitosugi^2,3 (1.HACARUS, 2.Tokyo Tech., 3.Univ. Tokyo)

1:45 PM - 2:00 PM

[22p-M206-2] High-throughput PL mapping with Bayesian optimization

〇(D)Shizuka Suzuki¹, Dazai Takuro¹, Yamamoto Yukio², Koinuma Hideumi², Takahashi Ryota¹ (1.Nihon Univ., 2.SCT)

2:00 PM - 2:15 PM

△ [22p-M206-3] Optimization of Composition and Process Condition for Lithium-Ion Conductors

〇Akito Maruo^1,3, Homma Kenji¹, Fujiwara Kaito², Usui Yuki², Yoshinaga Masashi², Hideyuki Jippo¹ (1.Fujitsu, 2.Tokai Univ., 3.Hokkaido Univ.)

2:15 PM - 2:30 PM

[22p-M206-4] Bayesian optimization for multi-stage process of solar cell production

〇Kentaro Kutsukake^1,2, Takashi Nakano^2,3, Shunya Kusakawa⁴, Ichiro Takeuchi^1,3, Shunta Harada^2,3, Miho Tagawa^2,3, Toru Ujihara^2,3 (1.AIP, RIKEN, 2.IMaSS, Nagoya Univ., 3.Grad. School Eng., Nagoya Univ., 4.Nagoya Inst. of Tech.)

2:30 PM - 2:45 PM

[22p-M206-5] Optimization of a temperature reduction sequence for suppressing dislocation generation in SiC crystal using machine learning

〇(M2)Naozumi Kumagai¹, Kentaro Kutukake^2,3, Shunta Harada^1,3, Miho Tagawa^1,3, Toru Ujihara^1,3 (1.Grad. School of Eng., Nagoya Univ., 2.AIP REKEN, 3.IMaSS, Nagoya Univ.)

2:45 PM - 3:00 PM

▼ [22p-M206-6] Optimal control of growth interface shape through machine learning in the growth of InGaSb crystal under microgravity

〇(D)Rachid Ghritli¹, Yasunori Okano¹, Yuko Inatomi^2,3 (1.Osaka Univ., 2.JAXA, 3.SOKENDAI)

3:15 PM - 3:30 PM

△ [22p-M206-7] 【Highlighted Presentation】High-speed prediction of thermal convection by using PINNs (Physics Informed Neural Networks)

〇(D)Yuto Takehara¹, Yasunori Okano¹ (1.Osaka Univ.)

3:30 PM - 3:45 PM

[22p-M206-8] Data assimilation for engineering utilizing domain knowledge (i) -Proposed method-

〇Kentaro Kutsukake^1,3, Shion Takeno², Masato Ohta^3,4, Masayuki Karasuyama², Ichiro Takeuchi^1,4, Toru Ujihara^3,4 (1.AIP, RIKEN, 2.Nagoya Inst. of Tech., 3.IMaSS, Nagoya Univ., 4.Grad. School Eng., Nagoya Univ.)

3:45 PM - 4:00 PM

[22p-M206-9] Data assimilation for engineering utilizing domain knowledge (ii)
-Application to solution growth simulation of SiC-

〇Masato Ota^1,2, Kentaro Kutsukake^1,3, Shion Takeno⁴, Masayuki Karasuyama⁴, Ichiro Takeuchi^2,3, Shunta Harada^1,2, Miho Tagawa^1,2, Toru Ujihara^1,2 (1.Imass, Nagoya Univ., 2.Grad. School Eng., Nagoya Univ., 3.AIP, RIKEN, 4.Nagoya Inst. of Tech.)

4:00 PM - 4:15 PM

△ [22p-M206-10] Multimodal AI for Virtual Screening of Complex Composite Materials

〇Shun Muroga¹, Yasuaki Miki¹, Takashi Honda², Hiroshi Morita¹, Toshiya Okazaki¹, Kenji Hata¹ (1.AIST, 2.ADMAT)

4:15 PM - 4:30 PM

[22p-M206-11] Toward robust and fast neural networks learning for efficient use of repository and preliminary physical properties measurement data

〇Kensei Terashima¹, Pedro Baptista de Castro^1,2, Miren Garbine Esparza Echevarria^1,2, Ryo Matsumoto¹, Takafumi D. Yamamoto¹, Hiroyuki Takeya¹, Yoshihiko Takano^1,2 (1.NIMS, 2.Univ. of Tsukuba)

4:45 PM - 5:00 PM

[22p-M206-12] Improvement of Electron Holography Precision Using Direct Detection Camera and Sparse Coding

〇Satoshi Anada¹, Yuki Nomura¹, Tsukasa Hirayama¹, Kazuo Yamamoto¹ (1.JFCC)

5:00 PM - 5:15 PM

[22p-M206-13] Electron Holography of Biological Sample with Sparse Coding (Evaluation by Computer Simulation)

〇KAZUO YAMAMOTO¹, SATOSHI ANADA¹, MAKIKO TAKATSUJI¹, YUKI NOMURA¹, TSUKASA HIRAYAMA¹ (1.JFCC)

5:15 PM - 5:30 PM

▲ [22p-M206-14] XERUS: An open-source python package for automatizing the analysis of XRD patterns

〇Pedro Castro^1,2, Kensei Terashima¹, Hiroyuki Takeya¹, Yoshihiko Takano^1,2 (1.NIMS, 2.Univ. of Tsukuba)

5:30 PM - 5:45 PM

[22p-M206-15] Application of parallel Monte Carlo Method to Total Reflection High-energy Positron Diffraction (TRHEPD) Experiment -Analysis of Bayesian Posterior Probability Distribution-

〇Takeo Hoshi^1,2, Harumichi Iwamoto¹, Kinoshita Naoki¹, Yuuma Terachi¹ (1.Tottori Univ., 2.KEK-IMSS-SPF)

5:45 PM - 6:00 PM

△ [22p-M206-16] Elucidating the operating mechanism of Beyond 5G devices using image information analysis of physical properties

〇Uran Yamamoto¹, Hideaki Sugino¹, Shunsuke Sato², Ken Masuzawa², Issei Watanabe³, Masato Kotsugi², Hirokazu Fukidome¹ (1.RIEC Tohoku Univ, 2.AE,Tokyo Univ. of Science, 3.NICT)

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