[8a-Z28-1~5] Development of the engineering for the diverse stable phases ~Objectives for the future environment, energy materials and devices

[8a-Z28-4] Towards elucidation and control of grain boundary structures by multicrystalline informatics

〇Noritaka Usami¹, Kentaro Kutsukake², Takuto Kojima³, Hiroaki Kudo³, Tatsuya Yokoi¹, Yutaka Ohno⁴ (1.Grad. Eng. Nagoya Univ., 2.RIKEN AIP, 3.Grad. Info. Nagoya Univ., 4.IMR Tohoku Univ.)

Keywords:multicrystalline silicon, machine learning, image processing

We attempt to establish scientific principle of “multicrystalline informatics" based on fusion of data collection, machine learning, and theoretical calculation for a large amount of practical multicrystalline silicon wafers, which could be useful to design and realize high-performance and highly functional polycrystalline materials. In this talk, we will review our recent achievements.