Intelligent Polymer Coatings: Enhancing Media Preservation through AI-Driven Techniques

Abstract

The need for enhanced preservation strategies is highlighted by the growth of varied media formats and the media's increasing susceptibility to degradation caused by the environment and usage. This study examines how polymer science and artificial intelligence (AI) can work together to create intelligent coatings that will greatly enhance media preservation. By utilizing machine learning methods for data analysis, the research aims to comprehend environmental factors and degradation patterns in order to create polymer formulations that are suitable for a variety of media substrates. In order to lessen the effects of several deteriorative forces, the project also explores the integration of artificial intelligence (AI) for real-time monitoring, adaptive response mechanisms, and self-healing capabilities within polymer coatings. It is anticipated that the results of this study will aid in the creation of intelligent polymer coatings, improving the robustness, quality, and lifespan of media.