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Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods
The phase-field method is a powerful and versatile computational approach for modeling the
evolution of microstructures and associated properties for a wide variety of physical …
evolution of microstructures and associated properties for a wide variety of physical …
Viewpoint on the formation and evolution of annealing twins during thermomechanical processing of FCC metals and alloys
The question of the formation mechanism of annealing twins in face-centered cubic metals
and alloys, which is still not resolved in spite of the fact that the existence of these defects is …
and alloys, which is still not resolved in spite of the fact that the existence of these defects is …
A review of 3D-printed bimetallic alloys
This paper provides a critical overview of experimental and computational studies
conducted on additive manufacturing (AM) or 3D printing using bimetallic alloys. The review …
conducted on additive manufacturing (AM) or 3D printing using bimetallic alloys. The review …
Ultra-large-scale phase-field simulation study of ideal grain growth
Grain growth, a competitive growth of crystal grains accompanied by curvature-driven
boundary migration, is one of the most fundamental phenomena in the context of metallurgy …
boundary migration, is one of the most fundamental phenomena in the context of metallurgy …
Influence of grain boundary energy anisotropy on the evolution of grain boundary network structure during 3D anisotropic grain growth
In this paper, we present the results of grain growth simulations in three-dimensions using
an existing level set method. Most of the previous grain growth studies have been either …
an existing level set method. Most of the previous grain growth studies have been either …
Accelerating microstructure modeling via machine learning: A method combining autoencoder and convlstm
Phase-field modeling is an elegant and versatile computation tool to predict microstructure
evolution in materials in the mesoscale regime. However, these simulations require rigorous …
evolution in materials in the mesoscale regime. However, these simulations require rigorous …
Phase-field model for anisotropic grain growth
Grain boundary properties may depend on the five macroscopic crystallographic degrees of
freedom of the boundary, these being the misorientation between crystals and the inclination …
freedom of the boundary, these being the misorientation between crystals and the inclination …
GrainNN: A neighbor-aware long short-term memory network for predicting microstructure evolution during polycrystalline grain formation
High fidelity simulations of grain formation in alloys are an indispensable tool for process-to-
mechanical-properties characterization. Such simulations, however, can be computationally …
mechanical-properties characterization. Such simulations, however, can be computationally …
Large-scale phase-field study of anisotropic grain growth: Effects of misorientation-dependent grain boundary energy and mobility
Three-dimensional grain growth behaviors under anisotropic (misorientation-dependent)
grain boundary energy and mobility are investigated via phase-field simulations. Based on a …
grain boundary energy and mobility are investigated via phase-field simulations. Based on a …
Evolution of crystallographic texture and grain boundary network structure during anisotropic grain growth
In this paper, we present the results of 426 anisotropic grain growth simulations in two-
dimensions using a diverse set of initial microstructures. We consider anisotropy by using a …
dimensions using a diverse set of initial microstructures. We consider anisotropy by using a …