In modern times, the demand for materials with highly engineered functionalities has spurred the need for rapid innovation. This demand is accentuated by advancements in the fields of digital manufacturing, 3D printing, and internet of things platforms, where technological disruption is happening at a rapid pace.

Traditional trial-and-error methods of materials discovery struggle to meet this demand. So, researchers are adopting artificial intelligence (AI) and machine learning (ML) techniques to speed up the development process.^1,2

AI and ML systems leverage vast datasets and advanced algorithms to identify novel compositions and structures in a much shorter timeframe and with greater accuracy than traditional methods. In addition, these technologies can quickly analyze vast amounts of data on structure–property relationships, which enables the development of engineered materials with properties optimized for various applications.