Fracture toughness evaluation of silicon nitride from microstructures via convolutional neural network

The fracture toughness of silicon nitride (Si3N4) ceramics was evaluated directly from their microstructures via deep learning using convolutional neural network models. Totally 156 data sets containing microstructural images and relative densities were prepared from 45 types of Si3N4 samples as inp...

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Veröffentlicht in:	Journal of the American Ceramic Society 2023-02, Vol.106 (2), p.817-821
Hauptverfasser:	Furushima, Ryoichi, Maruyama, Yutaka, Nakashima, Yuki, Ngo, Minh Chu, Ohji, Tatsuki, Fukushima, Manabu
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Ceramics convolutional neural network Datasets deep learning Fracture toughness Microstructure Regression models Silicon nitride
Online-Zugang:	Volltext
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