Digital advancements in smart materials design and multifunctional coating manufacturing

Abstract

This article reviewed the present state of advanced digital technologies such as Artificial Intelligence (AI) and Machine Learning (ML) for the development of smart materials design, multifunctional coatings, and their benefits. Currently, AI and ML implementations provide accelerated product development times, faster R&D feedback loops between planning, evaluation, and iteration, and greater overall control over the design ability of new components, materials, & products. Artificial intelligence and machine learning are helping people to do work better & faster, reduce repetitive non value added tasks, and free up time for higher-value tasks with performance forecasts. Exploring the application of AI and ML in the coating industry, this article reviews the advantages and scientific challenges of these technologies. Methodology for modeling, analysis, and properties prediction techniques are tangibly discussed in this review article for the development of smart coating materials. After a brief revision of the materials development through AI-ML, optimization procedures of various coating properties such as tribological, mechanical, corrosion protection, etc. are discussed using AI-ML techniques. Further AI-ML algorithm/model program and benefits of these techniques for marine coatings are also reviewed in this article. Finally, the AI-ML approach for the growth of global coating market is elaborated and future directions are highlighted.