[SY-D2] Symposium D-2

Thu. Nov 1, 2018 11:15 AM - 12:30 PM Room8

Chair: Tilmann Hickel(MPIE, Germany)

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[SY-D2] Using Machine-Learning to Create Predictive Material Property Models

Invited

^○Chris Wolverton (Northwestern University, United States of America)

[SY-D2] Designing mesoscale structures of Li-ion battery electrode using FIB-SEM image via machine learning

^○Yoichi Takagishi, Tatsuya Yamaue (Kobelco Research Institute Inc., Japan)

[SY-D2] Stability Engineering of Halide Perovskite via Machine Learning

^○Wan-Jian YIN, Wanjian YIN (Soochow University, China)

[SY-D2] Systematic evaluation of ionization potentials of divalent cation binary oxides

^○Yoyo Hinuma^1,2,3, Hiroyuki Hayashi^2,3, Yu Kumagai⁴, Isao Tanaka^2,3, Fumiyasu Oba^2,5 (1.Center for Frontier Science, Chiba Univ., Japan, 2.Center for Materials Research by Information Integration, National Institute for Materials Science, Japan, 3.Department of Materials Science and Engineering, Kyoto Univ., Japan, 4.Materials Research Center for Element Strategy, Tokyo Institute of Technology, Japan, 5.Laboratory for Materials and Structures, Institute of Innovative Research, Tokyo Institute of Technology, Japan)

Session information