Deep learning-based modeling of the strain rate-dependent thermomechanical processing response for a novel HIPed P/M nickel-based superalloy

LSTM: A Search Space Odyssey

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Computing, Computer Science, Artificial Intelligence +11

Kinetics of flow and strain-hardening

H. Mecking, U.F. Kocks · Acta Metallurgica · 1981 · 2.7K citations

Natural Sciences, Materials Engineering, Materials Science +10

Orientation gradients and geometrically necessary dislocations in ultrafine grained dual-phase steels studied by 2D and 3D EBSD

M. Calcagnotto, Dirk Ponge, Eralp Demir et al. · Materials Science and Engineering A · 2010 · 2.2K citations

Natural Sciences, Materials Engineering, Materials Science +16

Modeling of dynamic material behavior in hot deformation: Forging of Ti-6242

Y. V. R. K. Prasad, H. L. Gegel, S. M. Doraivelu et al. · Metallurgical Transactions A · 1984 · 1.5K citations

Natural Sciences, Materials Engineering, Materials Science +14

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