29 citations · 83 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials
Mohammad S. Khorrami, Jaber R. Mianroodi, Nima H. Siboni +4
The purpose of this work is the development of an artificial neural network (ANN) for surrogate modeling of the mechanical response of viscoplastic grain microstructures. To this e…
Combined modeling and experimental characterization of Mn segregation and spinodal decomposition along dislocation lines in Fe-Mn alloys
Jaber Rezaei Mianroodi, Pratheek Shanthraj, Alisson Kwiatkowski da Silva +2
Mn enrichment at dislocations in Fe-Mn alloys due to segregation and spinodal decomposition along the dislocation line is studied via modeling and experimental characterization. To…
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…