Machine Learning and Artificial Intelligence in Polymer Composites

Polymer composites are now essential in many industries, providing a flexible solution for anything from construction to automotive and aerospace applications. This study explores how machine learning (ML) and artificial intelligence (AI) are revolutionizing the world of polymer composites. To fully assess and evaluate the state of ML and AI applications today, the study will concentrate on how these technologies are used in material design, process optimization, quality control, and predictive modeling. The study aims to investigate novel ways to improve the characteristics of polymer composites. It also seeks to benchmark the precision and dependability of prediction models and offer applicable implementation instructions. The chapter presents a survey based on the Scopus database, Elsevier, exporting data on February 2, 2024, and finding more than 2,039 research in various fields and applications. Furthermore, the study discussed traditional methods in polymer composite research and their limitations. In addition, this study explores the current challenges in implementing ML and AI in a polymer composite, investigating opportunities for further advancements, and overcoming existing limitations. This work is an invaluable resource for researchers, engineers, and practitioners looking to use ML and AI to optimize and enhance polymer composites in various industrial applications.