Phase Transformation Temperature Prediction in Steels via Machine Learning

The phase transformation temperature plays an important role in the design, production and heat treatment process of steels. In the present work, an improved version of the gradient-boosting method LightGBM has been utilized to study the influencing factors of the four phase transformation temperatu...

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Bibliographic Details
Main Authors: Yupeng Zhang, Lin Cheng, Aonan Pan, Chengyang Hu, Kaiming Wu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/17/5/1117