Prediction of metadynamic softening in a multi-pass hot deformed low alloy steel using artificial neural network

Neural Networks in Materials Science.

H. K. D. H. Bhadeshia · ISIJ International · 1999 · 675 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +10

Constitutive modeling for elevated temperature flow behavior of 42CrMo steel

Y.C. Lin, Ming-Song Chen, Jue Zhong · Computational Materials Science · 2007 · 607 citations

Engineering, Materials Engineering, Mechanical Engineering +14

Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel

Y.C. Lin, Jun Zhang, Jue Zhong · Computational Materials Science · 2008 · 303 citations

Engineering, Materials Engineering, Materials Science +16

Prediction of 42CrMo steel flow stress at high temperature and strain rate

Y.C. Lin, Ming-Song Chen, Jue Zhong · Mechanics Research Communications · 2007 · 291 citations

Natural Sciences, Materials Engineering, Materials Science +16

Study of static recrystallization kinetics in a low alloy steel

Y.C. Lin, Ming-Song Chen, Jue Zhong · Computational Materials Science · 2008 · 124 citations

Engineering, Materials Engineering, Materials Science +14