Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

D Montes de Oca Zapiain, JA Stewart… - npj Computational …, 2021 - nature.com
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 …

Viewpoint on the formation and evolution of annealing twins during thermomechanical processing of FCC metals and alloys

N Bozzolo, M Bernacki - Metallurgical and Materials Transactions A, 2020 - Springer
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 …

Ultra-large-scale phase-field simulation study of ideal grain growth

E Miyoshi, T Takaki, M Ohno, Y Shibuta… - NPJ Computational …, 2017 - nature.com
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 …

Influence of grain boundary energy anisotropy on the evolution of grain boundary network structure during 3D anisotropic grain growth

JD Niño, OK Johnson - Computational Materials Science, 2023 - Elsevier
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 …

GrainNN: A neighbor-aware long short-term memory network for predicting microstructure evolution during polycrystalline grain formation

Y Qin, S DeWitt, B Radhakrishnan, G Biros - Computational Materials …, 2023 - Elsevier
High fidelity simulations of grain formation in alloys are an indispensable tool for process-to-
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

E Miyoshi, T Takaki, S Sakane, M Ohno… - Computational Materials …, 2021 - Elsevier
Three-dimensional grain growth behaviors under anisotropic (misorientation-dependent)
grain boundary energy and mobility are investigated via phase-field simulations. Based on a …

Advent of Cross‐Scale Modeling: High‐Performance Computing of Solidification and Grain Growth

Y Shibuta, M Ohno, T Takaki - Advanced Theory and …, 2018 - Wiley Online Library
The application range of computational metallurgy is rapidly expanding thanks to the recent
progress in high‐performance computing. In this Progress Report, state‐of‐the‐art …

A review of 3D-printed bimetallic alloys

MJ Shekh, LC Yeo, JL Bair - The International Journal of Advanced …, 2024 - Springer
This paper provides a critical overview of experimental and computational studies
conducted on additive manufacturing (AM) or 3D printing using bimetallic alloys. The review …

Description of dynamic recrystallization by means of an advanced statistical multilevel model: Grain structure evolution analysis

P Trusov, N Kondratev, A Podsedertsev - Crystals, 2022 - mdpi.com
Physical multilevel models of inelastic deformation that take into account the material
structure evolution hold promise for the development of functional materials. In this paper …

Phase-field model for anisotropic grain growth

P Staublin, A Mukherjee, JA Warren, PW Voorhees - Acta Materialia, 2022 - Elsevier
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 …