Introduction:
The relationship between structure, composition, and properties has guided the design of materials for the optimization of their performances. However, performing experiments to acquire the data needed to understand such relationships can be highly expensive, especially for more complex materials and more specialized applications. Materials modeling has expedited materials design by computationally simulating the structures or behaviors needed for targeted properties. More recently, applications of artificial intelligence and materials informatics have been shown to further improve or supplement materials modeling, leading to more efficient use of resources and time needed to develop materials and products. In this symposium, modeling of materials across different scales will be presented by a panel of international experts. Current trends in materials modeling and applications of artificial intelligence for materials-related research and development will be discussed.
