[9a-W321-1~11] 23.1 Joint Session N "Informatics"

Sat. Mar 9, 2019 9:00 AM - 12:00 PM W321 (W321)

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

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9:00 AM - 9:15 AM

[9a-W321-1] Introduction of joint session N “Informatics”

〇Kentaro Kutsukake¹, Toyohiro Chikyow², Nao Terasaki³, Kenji Tsujino⁴, Ryota Takahashi⁵, Atsuko Kosuga⁶, Tetsuhiko Miyadera³ (1.RIKEN, 2.NIMS, 3.AIST, 4.TWMU, 5.The Univ. of Tokyo, 6.Osaka Pref. Univ.)

9:15 AM - 9:30 AM

[9a-W321-2] Construction of Neural Network Potentials to Analyze Atom Dynamics under Electric Fields and Phonon Properties

Masayoshi Ogura¹, Takanori Moriya¹, Wenwen Li², Koji Shimizu¹, Emi Minamitani¹, 〇Satoshi Watanabe^1,3 (1.UTokyo, 2.AIST, 3.NIMS)

9:30 AM - 9:45 AM

△ [9a-W321-3] Construction of Neural Network Potential to Explore Au(111)/Li_{3}PO_{4} Interace Structures

〇Koji Shimizu¹, Wei Liu¹, Wenwen Li², Yasunobu Ando², Emi Minamitani¹, Satoshi Watanabe^1,3 (1.UTokyo, 2.AIST, 3.NIMS)

9:45 AM - 10:00 AM

[9a-W321-4] Machine-learning interatomic potential for grain boundary structures in Si

〇Tatsuya Yokoi¹, Yusuke Noda¹, Atsutomo Nakamura¹, Katsuyuki Matsunaga¹ (1.Nagoya Univ.)

10:00 AM - 10:15 AM

[9a-W321-5] Optimization of atomic arrangement in crystal structures using Naïve Bayes

〇Yusuke Noda¹, Tatsuya Yokoi¹, Katsuyuki Matsunaga¹ (1.Nagoya Univ.)

10:15 AM - 10:30 AM

[9a-W321-6] High Throughput Screening for Long-Life Battery

〇Tomohiro Yoshida¹, Kenta Hongo^2,3, Ryo Maezono^4,5 (1.Sumitomo Metal Mining, 2.RCACI, JAIST, 3.PRESTO, JST, 4.Sch. Info. Sci., JAIST, 5.RIKEN)

10:45 AM - 11:00 AM

[9a-W321-7] Synthesis and characteristics of AE(TM)₂Bi₂O₉ system (AE: Ca, Sr, Ba, TM: Nb, Ta) oxide ion conductors found by materials informatics

〇Shin Tajima¹, Nobuko Ohba¹, Akitoshi Suzumura¹, Yumi Masuoka¹, Rhyoji Asahi¹ (1.Toyota Central Labs.)

11:00 AM - 11:15 AM

▼ [9a-W321-8] Designing Thermal Functional Materials via Materials Informatics

〇(PC)Shenghong Ju^1,2, Junichiro Shiomi^1,2,3 (1.Univ. of Tokyo, 2.NIMS, 3.CREST)

11:15 AM - 11:30 AM

[9a-W321-9] 【Highlight】Prediction system and feature importance for ferroelectricity of perovskite type oxides using first-principles calculation and machine learning

〇Junji Nishiyama¹, Takuya Takahashi¹, Hiroaki Takeda¹, Takaaki Tsurumi¹, Takuya Hoshina¹ (1.Tokyo Tech.)

11:30 AM - 11:45 AM

[9a-W321-10] Machine learning of graph for chemical substances using atom/bond types in force fields

〇Hideyuki Jippo¹, Ryota Kikuchi¹, Tatsuru Matsuo¹, Daisuke Fukuda¹, Azuma Matsuura¹, Mari Ohfuchi¹ (1.Fujitsu Labs. Ltd.)

11:45 AM - 12:00 PM

△ [9a-W321-11] Quantitative prediction of material properties from core-loss spectrum based on machine learning

〇Shin Kiyohara¹, Masashi Tsubaki², Teruyasu Mizoguchi¹ (1.Tokyo Univ., 2.AIST)

Session information