Sustainable Materials The Role of Artificial Intelligence and Machine Learning

The superior multi-functional properties of polymer composites have made it suitable for biomedical, defense, automobile, agriculture, and domestic applications. The growing demand for these composites calls for an extensive investigation of their physical, chemical, and mechanical behaviour under different exposure conditions. Characterization techniques are vital, and considering the extensive investigations and given the number of parameters, also complex.
The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.