Abstract

AI-ASSISTED INNOVATIONS IN DEVELOPMENT OF SUSTAINABLE POLYMERS

Monali Kohinkar*, Shubham Gore, Dr. Meera Deshmukh and Dr. Pranati Tilak

ABSTRACT

The development of sustainable polymers is critical to addressing the environmental challenges posed by traditional plastic materials. Recent advances in artificial intelligence (AI) have significantly contributed to the innovation of eco-friendly polymers, offering novel approaches to enhance their synthesis, performance, and environmental compatibility. AI-assisted techniques, including machine learning (ML), deep learning (DL), and data-driven modeling, have enabled the design and optimization of sustainable polymers with improved properties, such as biodegradability, recyclability, and minimal environmental impact. By leveraging large datasets and predictive algorithms, AI accelerates the identification of alternative materials, the design of novel polymerization processes, and the evaluation of polymer behaviors in real-world conditions. Furthermore, AI is used to optimize polymerization reactions, monitor the stability and degradation of materials, and propose eco-friendly alternatives to hazardous monomers and additives. The use of AI to polymersynthesis has the potential to reduce waste, promote the adoption of green chemical concepts, and establish a circular economy for plastics. As the field evolves, AI continues to push the boundaries of sustainable material science, paving the way for a future with more environmentally responsible and high-grade polymers.

Keywords: Sustainable polymers, AI-assisted innovation, machine learning, biodegradable plastics, polymer synthesis, green chemistry.