Characterization and Modeling of Microstructure Evolution During Metallic Material Processing

Dear Colleagues,

Microstructure regulation is one of the important goals of metal material processing. At present, with the continuous improvement of new detection methods and instruments, experimental methods can more clearly and accurately characterize the evolution of microstructure in material processing. At the same time, with the development of computational materials science, many new methods have emerged for the simulation and prediction of microstructure evolution. This Special Issue welcomes original research articles and reviews on, but not limited to, the following topics:

1）Advanced experimental techniques for microstructure characterization (EBSD, TEM, in situ observation, etc.);

2）Computational modeling of microstructural evolution, including phase-field, cellular automaton, Monte Carlo, and crystal plasticity methods;

3）Multiscale approaches bridging experimental observations and numerical simulations;

4）Influence of thermomechanical processing on phase transformation, grain growth, recrystallization, and precipitation;

5）Data-driven and machine learning techniques for microstructure prediction.

Prof. Dr. Gang Fang
Guest Editor

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