Features in Optical Image of Generation Points of Dislocation Clusters in Multicrystalline Silicon Ingot Predicted by Transfer Learning of Convolutional Neural Network

Hiroaki Kudo

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)

9:00 AM - 9:20 AM

[A4-O3-01] Features in Optical Image of Generation Points of Dislocation Clusters in Multicrystalline Silicon Ingot Predicted by Transfer Learning of Convolutional Neural Network

*Hiroaki Kudo¹, Takuto Kojima¹, Tetsuya Matsumoto¹, Kentaro Kutsukake², Noritaka Usami³ (1. Grad. Sch. Info., Nagoya Univ. (Japan), 2. AIP, RIKEN (Japan), 3. Grad. Sch. Eng., Nagoya Univ. (Japan))

Keywords:Transfer learning, Dislocation clusters, Generation point, Photoluminescence image, Optical image

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