Improvement of Machine Learning Model for Crystal Orientation Estimation by Data Augmentation

Takuto Kojima

Presentation information

Oral Session

A. New Materials Methodology for Next-Generation » [A-4] New Methodology for Developing Innovative Materials

[A4-O3] Slot 03

Tue. Dec 14, 2021 9:00 AM - 11:00 AM Room E (G416+417)

Chair: Michiko Kusunoki (Nagoya University)

10:20 AM - 10:40 AM

[A4-O3-05] Improvement of Machine Learning Model for Crystal Orientation Estimation by Data Augmentation

*Takuto Kojima¹, Kyoka Hara², Kentaro Kutsukake³, Tetsuya Matsumoto¹, Hiroaki Kudo¹, Noritaka Usami² (1. Grad. Info. Nagoya Univ. (Japan), 2. Grad. Eng. Nagoya Univ. (Japan), 3. RIKEN AIP (Japan))

Keywords:machine learning, multicrystalline silicon, crystal orientation, data augmentation

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