Microstructure-Informed Numerical Simulations to Predict the Performance of Materials

Dear Colleagues,

The microstructure plays a very important role in determining the performance of materials. The interplay between the performance and the microstructure is of great interest, since it offers the ability to tailor materials for desired properties. Numerical simulations as alternate effective tools for experiments are capable of bridging the microstructure at different spatial and temporal scales to the performance of materials, with the benefits of low-cost and efficiency. Formulations and algorithms developed in numerical simulations for physical problems and material processes provide the foundation for developing a powerful capability to analyze and predict the behaviors of materials. This Special Issue is, thus, aimed at presenting various numerical modeling techniques, including, but not limited to, the first-principle, molecular dynamics, Monte Carlo, cluster dynamics, dislocation dynamics, phase-field, finite element, and machine learning methods, for linking the microstructure at all scales to the properties of metallic materials, including, but not limited to, the fracture toughness, strength, hardness, brittleness, ductility, fatigue, thermal conductivity, thermal stability, corrosion resistance, electrical conductivity, magnetic coercivity, and magnetic hysteresis. Article types including original research and reviews are welcome.

Prof. Dr. Linyun Liang
Dr. Liwang Liu
Guest Editors

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