Intelligent Materials Improvement Through Artificial Intelligence Approaches: A Systematic Literature Review

Abstract

Artificial intelligence applications to enhance materials science have reduced the efforts and costs of developing new materials. Although it is still a recent research field, some promising results, and techniques have successfully been deployed for intelligent material discovery. This paper presents a systematic literature review considering applications of Artificial Intelligence (AI) approaches within the Materials Science context, presenting the literature and trends on intelligent materials through Artificial Intelligence. For this literature review, 527 articles and reviews were retrieved from Web of Science and Scopus databases from 1995 to 2022. The results showed that the number of AI applications in Materials Science has grown as well as the number of publications citing AI applications. Among the results, the most popular and relevant algorithms used in materials science are identified with a wide diversity of application possibilities with future directions.