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cond-mat.mtrl-sci2022★ 7 cited
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…
cond-mat.mtrl-sci2014★ 13 cited
Modeling of grain boundary dynamics using amplitude equations
Claas Hüter, Jörg Neugebauer, Guillaume Boussinot +3
We discuss the modelling of grain boundary dynamics within an amplitude equations description, which is derived from classical density functional theory or the phase field crystal…