Microstructure recognition using convolutional neural networks for prediction of ionic conductivity in ceramics
Sign Up to like & getrecommendations! Published in 2017 at "Acta Materialia"
DOI: 10.1016/j.actamat.2017.09.004
Abstract: Abstract Convolutional neural networks (CNNs) have recently exhibited state-of-the-art performance with respect to image recognition tasks. In the present study, we adopt CNNs to link experimental microstructures with corresponding ionic conductivities. The results reveal that… read more here.
Keywords: cnns; neural networks; convolutional neural; microstructure recognition ... See more keywords
Deep Transfer Learning for Ni-Based Superalloys Microstructure Recognition on γ′ Phase
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15124251
Abstract: Ni-based superalloys are widely used to manufacture the critical hot-end components of aviation jet engines and various industrial gas turbines. The analysis of Ni-based superalloys microstructures is an important research task during the design and… read more here.
Keywords: based superalloys; transfer; microstructure recognition; recognition phase ... See more keywords