Glass transition temperature prediction based on tBA-co-DEGDA composition and 4D printing process full-factorial DOE and machine learning
Jan 1, 2021·
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1 min read
J.-H. Kim
Yoon Yong-Jin
Kim, J.-H., Yoon, Y.-J., 2021, Glass transition temperature prediction based on tBA-co-DEGDA composition and 4D printing process full-factorial DOE and machine learning, Korean Society of Precision Engineering Proceedings
