Výsledky vyhledávání - "Hiroaki Kudo"

Akademický článek

Multicrystalline informatics: a methodology to advance materials science by unraveling complex phenomena

Autor: Noritaka Usami, Kentaro Kutsukake, Takuto Kojima, Hiroaki Kudo, Tatsuya Yokoi, Yutaka Ohno

Publikováno v: Science and Technology of Advanced Materials (2024)

Multicrystalline materials play a crucial role in our society. However, their microstructure is complicated, and there is no universal approach to achieving high performance. Therefore, a methodology is necessary to answer the fundamental question of

Externí odkaz: https://doaj.org/article/3659aafdcfa347108d05af2a7bd9dfd1

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Akademický článek

3D CNN and grad-CAM based visualization for predicting generation of dislocation clusters in multicrystalline silicon

Autor: Kyoka Hara, Takuto Kojima, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usami

Publikováno v: APL Machine Learning, Vol 1, Iss 3, Pp 036106-036106-9 (2023)

We propose a machine learning-based technique to address the crystallographic characteristics responsible for the generation of crystal defects. A convolutional neural network was trained with pairs of optical images that display the characteristics

Externí odkaz: https://doaj.org/article/3bc8d3aaa6ee42c9a52e09cbe5383f9b

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Akademický článek

A machine learning-based prediction of crystal orientations for multicrystalline materials

Autor: Kyoka Hara, Takuto Kojima, Kentaro Kutsukake, Hiroaki Kudo, Noritaka Usami

Publikováno v: APL Machine Learning, Vol 1, Iss 2, Pp 026113-026113-9 (2023)

We established a rapid, low-cost, and accurate technique to measure crystallographic orientations in multicrystalline materials by optical images and machine learning. A long short-term memory neural network was trained with pairs of light reflection

Externí odkaz: https://doaj.org/article/d2c6842e862a418d8c584913807eccab

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Akademický článek

Sequence-controlled supramolecular terpolymerization directed by specific molecular recognitions

Autor: Takehiro Hirao, Hiroaki Kudo, Tomoko Amimoto, Takeharu Haino

Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-7 (2017)

Nature can precisely control monomer sequences in biopolymers, but this is somewhat problematic in the formation of synthetic polymers. Here the authors show sequence-controlled supramolecular terpolymerization via self-sorting behavior among three s

Externí odkaz: https://doaj.org/article/b1457d6718bc4c92817729280eb6757e

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