Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning

Abstract Advanced high strength steel (AHSS) is a steel of multi-phase microstructure that is processed under several conditions to meet the current high-performance requirements from the industry. Deep neural network (DNN) has emerged as a promising tool in materials science for the task of estimat...

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Bibliographic Details
Main Authors: Sung Wook Kim, Seong-Hoon Kang, Se-Jong Kim, Seungchul Lee
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doaj.org/article/dcbc6a1fd009497aa6d565446bece42c
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