ENHANCING THE PIEZOELECTRIC PROPERTIES OF PVDF VIA MACHINE LEARNING DRIVEN OPTIMISATION

Abstract

This study investigates how small fibers made from PVDF can efficiently convert movement into electricity. Scientists have enhanced these fibers by incorporating various materials to improve their ability to generate electricity when they move. They tested the strength of the electricity produced when the fibers are pressed or bent, and also measured the thickness of the fibers. Using Machine Learning analysis, they found that certain programs were better at predicting the amount of electricity the fibers could produce. Overall, this research suggests that these advanced PVDF fibers could be highly beneficial for developing devices that generate electricity without needing batteries, such as clothes capable of charging your phone. These findings highlight potential advancements in sustainable energy solutions for applications in wearable electronics and medical devices.