Sustainable Nanomaterials in Machine Learning: Occurrence and Applications

Machine learning (ML) has proven to be a useful technique in resolving the problem. Due to their distinctive features and prospective applications, nanomaterials have become a rapidly growing area of research. More effective and precise characterization techniques are needed as nanomaterials become more advanced. In this chapter, we examine the most recent advances in machine learning for nanomaterials research and emphasize how significant they are to the future development of the discipline. This chapter provides an opportunity to learn more about the machine learning-based behavior of sustainable smart nanomaterials. Smart nanomaterials need to be fully comprehended in order to be developed, used, and handled properly. Here, we briefly cover the components, methods, and analysis of these smart nanomaterials using machine learning. Also, we will talk about the fate and challenges that machine learning applications will present for sustainable nanomaterial manufacturing. The research, eco-toxicological, and economical aspects for sustainable nanomaterials are presented in this chapter.