Enhancing Electrical Conductivity of Polymer Nanocomposites Using Artificial Intelligence

EasyChair Preprint 14591

Abstract

The integration of artificial intelligence (AI) in the development of polymer nanocomposites has revolutionized the enhancement of electrical conductivity in these materials. This study explores the application of AI algorithms to optimize the design and synthesis of polymer nanocomposites, leading to improved electrical conductivity. By leveraging machine learning techniques, we predict the optimal composition and structure of nanocomposites, identifying key factors that influence electrical conductivity. Our results demonstrate a significant increase in electrical conductivity, surpassing traditional trial-and-error approaches. This AI-driven methodology paves the way for the rapid development of high-performance polymer nanocomposites for various applications, including energy storage, electronics, and sensors.

Keyphrases: Artificial Intelligence, electrical conductivity, polymer nanocomposites

@booklet{EasyChair:14591,
  author    = {Abi Cit},
  title     = {Enhancing Electrical Conductivity of Polymer Nanocomposites Using Artificial Intelligence},
  howpublished = {EasyChair Preprint 14591},
  year      = {EasyChair, 2024}}