Machine learning-based constitutive model for J2- plasticity

Machine-learning based temperature- and rate-dependent plasticity model: Application to analysis of fracture experiments on DP steel

(2019) Xueyang Li et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Application of artificial neural networks in micromechanics for polycrystalline metals

(2019) Usman Ali et al.   INTERNATIONAL JOURNAL OF PLASTICITY

A hybrid approach to simulate the homogenized irreversible elastic–plastic deformations and damage of foams by neural networks

(2019) Christoph Settgast et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Applied machine learning to predict stress hotspots I: Face centered cubic materials

(2018) Ankita Mangal et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Applied Machine Learning to Predict Stress Hotspots II: Hexagonal close packed materials

(2018) Ankita Mangal et al.   INTERNATIONAL JOURNAL OF PLASTICITY

Artificial neural network and constitutive equations to predict the hot deformation behavior of modified 2.25Cr–1Mo steel

(2012) Hong-Ying Li et al.   MATERIALS & DESIGN

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

(2008) Y.C. Lin et al.   COMPUTATIONAL MATERIALS SCIENCE