Papers - KUDO, Hiroaki
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Twinning Network Graph Analysis on Ingot-scale Multicrystalline Structure Reviewed
T. Kojima, K. Kutsukake, T. Matsumoto, H. Kudo, N. Usami
2021 MRS Fall Meeting & Exhibit 2021.12
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Training Data Optimization and Error Analysis for Machine Learning-based Crystal Orientation Estimation Reviewed
K. Hara, T. Kojima, K. Kutsukake, H. Kudo, N. Usami
2021 MRS Fall Meeting & Exhibit 2021.12
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Features in optical image of generation points of dislocation clusters in multicrystalline silicon ingot predicted by transfer learning of convolutional neural network Reviewed
H. Kudo, T. Kojima, T. Matsumoto, K. Kutsukake, N. Usami
Materials Research Meeting (MRM 2021), 2021.12
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Development of a Realistic 3D Model of Multicrystalline Si Structure using Image Processing and Machine Learning of Optical Images and Finite Element Stress Analysis on the Model Reviewed
K. Yamakoshi, T. Kojima, K. Kutsukake, H. Kudo, N. Usami
2021 MRS Fall Meeting & Exhibit 2021.12
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Multicrystalline Informatics for High-Performance Crystals
N. Usami, T. Kojima, K. Kutsukake, X. Liu, H. Kudo, T. Matsumoto, T. Yokoi, Y. Shimizu, Y. Ohno
2021 International Conference on Solid State Devices and Materials, SSDM 2021, 2021.9
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Multicrystalline informatics: A methodology to realize high-performance crystals
N. Usami, T. Kojima, K. Kutsukake, X. Liu, H. Kudo, T. Matsumoto, T. Yokoi, Y. Shimizu, Y. Ohno
2nd International Symposium on Modeling of Crystal Growth Processes and Devices 2021.7
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Prediction of Stress and Dislocations in Silicon Ingots using Artificial Neural Networks Reviewed
Abderahmane Boucetta,Yusuke Fukuda, Kentaro Kutsukake, Takuto Kojima, Hiroaki Kudo,Tetsuya Matsumoto, and Noritaka Usami
The 8th Asian Conference on Crystal Growthand Crystal Technology, CGCT-8 2021.3
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APPLICATION OF ANN TO PREDICT DISTRIBUTION OF DISLOCATIONS IN SILICON INGOTS Reviewed
Abderahmane BOUCETTA, Yusuke FUKUDA, Kentaro KUTSUKAKE, Takuto KOJIMA, Hiroaki KUDO, Tetsuya MATSUMOTO and Noritaka USAMI
The 30th International Photovoltaic Science and Engineering Conference (PVSEC-30) 2020.11
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Occurrence Prediction of Dislocation Regions in Photoluminescence Image of Multicrystalline Silicon Wafers Using Transfer Learning of Convolutional Neural Network Reviewed
Hiroaki Kudo, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
The Tenth International Workshop on Image Media Quality and its Applications (IMQA 2020) 2020.3
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Occlusion Avoidance Behavior During Gazing at A Rim Drawn by Blue-yellow Opposite Colors Reviewed
Shinya Mochiduki, Yukina Tamura, Miho Shinohara , Hiroaki Kudo, Mitsuho Yamada
The Tenth International Workshop on Image Media Quality and its Applications (IMQA 2020) 2020.3
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Neural Network to Determine Appropriate Thermocouple Positions in Crystal Growth Furnace Reviewed
Abderahmane Boucetta, Kentaro Kutsukake, Hiroaki Kudo, Tetsuya Matsumoto, Takuto Kojima, Noritaka Usami
2019 MRS Fall Meeting & Exhibit 2019.12
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Prediction of regions including dislocations in multicrystalline silicon photoluminescence image by transfer learning of convolutional neural network Reviewed
Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
ICONIP 2019 Proceedings (Australian Journal of Intelligent Information Processing Systems) Vol. 15 ( 2 ) page： 68 - 74 2019.12
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Generation and propagation of dislocation clusters originated from multicrystallization by Σ3n rotation and in quasi-monocrystalline silicon Reviewed International coauthorship
T. Kojima, K. Tajima, T. Matsumoto, H. Kudo, N. Usami, P. Krenckel, and S. Riepe
36th EU PVSEC page： 2CV.2.15 2019.9
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On the Progress in Data Science Approaches for High-Quality Multicrystalline Silicon Ingot for Solar Cells Reviewed
N. Usami, K. Tajima, S. Kamibeppu, A.E. Boucetta, K. Kutsukake, T. Kojima, T. Matsumoto, H. Kudo, Y. Noda, T. Yokoi, Y. Shimizu, Y. Ohno
36th EU PVSEC page： 2AO.5.5 2019.9
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Establishment of Quantitative Evaluation Method of Electrical Characteristics of Defects in Silicon Crystals for Solar Cells by Photoluminescence Imaging Method using Finite Element Method Reviewed
K. Mitamura, K. Kutsukake, H. Kudo, T. Matsumoto, and N. Usami
Japan-Korea PV Joint Student Seminar 2019.2
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High spatial resolution of multicrystalline imaging by subpixel shift Reviewed
K. Takeuchi, K. Kutsukake, H. Kudo, T. Matsumoto, N. Usami
Japan-Korea PV Joint Student Seminar 2019.2
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Multicrystalline Informatics for Silicon Ingot with Ideal Microstructures Invited
Noritaka Usami, Kazuya Tajima, Soichiro Kamibeppu, Yusuke Hayama, Kentaro Kutsukake, Tetsuya Matsumoto, Hiroaki Kudo
2018 Materials Research Society Fall Meeting & Exhibit page： ET02.06.01 2018.11
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3D visualization and numerical information extraction of crystal defects in multicrystalline silicon ingot by processing PL images Reviewed
Kazuya Tajima, Tetsuya Matsumoto, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usa
The Forum on the Science and Technology of Silicon Materials 2018 page： PB03 2018.11
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Development of detection method of dislocation clusters from photoluminescence images by data science approach
Kazuya Tajima, Tetsuya Matsumoto, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usami
The 7th Korea-Japan Joint Seminar on PV page： P16 2018.11
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Estimation of dislocation regions in photoluminescence image using weighted multi wafers of multicrystalline silicon by non-negative matrix factorization Reviewed
Hiroaki Kudo, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami
Proceeding of the Ninth International Workshop on Image Media Quality and its Applications page： 57-61 2018.9