Recent machine learning guided material research - A review

Abstract Sustainable development of modern society demands discovering new materials with superior properties in different applications such as aerospace, wind, civil, automotive, etc. Characterizing and predicting material properties using traditional methods are time consuming and expensive. Therefore, advanced methods have been developed to meet the need for quick and reliable design and characterizing of materials properties. ML methods have made it possible to optimize and automate design performance and discover new materials. This review paper gives an overview of the implementation of ML in i) discovery of new materials, and ii) characterization of materials ML. Various ML models for materials manufacturing as well as how ML is applied to model materials are discussed. Recent advances, ML applications, as well as upcoming challenges and perspectives are discussed.