Generative AI for Tailored Functionalities in Nanocomposite Materials

EasyChair Preprint 14571

Abstract

The integration of Generative AI in the development of nanocomposite materials has revolutionized the field by enabling tailored functionalities. This innovative approach leverages machine learning algorithms to design and optimize nanocomposite structures with specific properties. By generating vast virtual libraries of nanocomposite configurations, Generative AI accelerates the discovery of novel materials with enhanced mechanical, thermal, and electrical properties. This abstract presents a comprehensive overview of the current state-of-the-art in Generative AI-driven nanocomposite design, highlighting its potential to transform industries such as energy, aerospace, and biomedicine. We explore the challenges and opportunities in this emerging field, underscoring the potential for Generative AI to unlock unprecedented functionalities in nanocomposite materials.

Keyphrases: Generative AI, Tailored functionalities, nanocomposite materials

@booklet{EasyChair:14571,
  author    = {Abey Litty},
  title     = {Generative AI for Tailored Functionalities in Nanocomposite Materials},
  howpublished = {EasyChair Preprint 14571},
  year      = {EasyChair, 2024}}