Materials Informatics Opens the Door for Dental Materials Development
Satoshi Yamaguchi, H. Li, Antonín Tichý, Falk Schwendicke, Satoshi Imazato
Abstract
Materials informatics (MI) has gained attention as a data-driven approach to accelerating material optimization in several fields. By leveraging computational methods, recent advancements in artificial intelligence, and large datasets, MI is poised to significantly accelerate the development of various materials. This approach drives innovative solutions, offers new insights into composition-property relationships, and potentially redefines the standards for material testing and selection. Consequently, MI has become a powerful alternative to traditional experimentation, offering more systematic and efficient pathways for materials innovation. Despite its success in other domains, only a handful of studies have used MI in dental materials research, which has long relied on iterative, labor-intensive empirical testing to make incremental improvements. This narrative review summarizes the fundamental principles of MI while showcasing its emerging role in dental materials research. We also discuss advantages of MI compared with traditional pipelines; current limitations, such as data scarcity and the challenges of translating in vitro findings to clinical outcomes; and future perspectives.