Microstructure recognition using convolutional neural networks for prediction of ionic conductivity in ceramics

By R. Kondo, Shunsuke Yamakawa, Y. Masuoka, S. Tajima, R. Asahi. 2017

183 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/abf32f88a9692edf66a0d4337c496ee687d59b83

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1. Shuo Feng
2. Hongbiao Dong
3. Huiyu Zhou

Citations in the corpus

• Using deep neural network with small dataset to predict material defects (2019, background): “3 Potential for applying DNN with small dataset Although convolution neural network for microstructure image recognition [43-45] and variational auto-encoder for text mining [46] have been introduced into material science, the applications of DNNs in material science are still limited.”