Coupling physics in machine learning to predict interlamellar spacing and mechanical properties of high carbon pearlitic steel
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
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1. Adding chemical composition variable to traditional time–temperature-transformation (TTT) diagrams with an experimental cost-effective method
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