4 citations · 10 across the 5 of their papers we have counts for
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Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids
Sarthak Kapoor, Jaber Rezaei Mianroodi, Mohammad Khorrami +2
The purpose of this work is the systematic comparison of the application of two artificial neural networks (ANNs) to the surrogate modeling of the stress field in materially hetero…
Accelerating phase-field-based simulation via machine learning
Iman Peivaste, Nima H. Siboni, Ghasem Alahyarizadeh +4
Phase-field-based models have become common in material science, mechanics, physics, biology, chemistry, and engineering for the simulation of microstructure evolution. Yet, they s…
Alloy Design for Mechanical Properties: Conquering the Length Scales
Irene J. Beyerlein, Shuozhi Xu, Javier LLorca +3
Predicting the structural response of advanced multiphase alloys and understanding the underlying microscopic mechanisms that are responsible for it are two critically important ro…