Integrating Artificial Intelligence and Machine Learning in the Design and Manufacturing of Green and Flexible Electronics

Author:

Kumar Singh Manish1ORCID,Lata Anamika1

Affiliation:

1. School of Electronics Engineering (SENSE), VIT-AP University, India

Abstract

This chapter explores the integration of AI and ML techniques in the design and manufacturing of green and flexible electronics. It emphasizes the significance of these technologies for sustainable development and discusses the challenges and opportunities they present. The chapter provides an overview of AI and ML algorithms applicable to the field, including materials selection, intelligent manufacturing, energy efficiency prediction, and design optimization. Case studies highlight successful applications of AI and ML in green and flexible electronics. Overall, this chapter demonstrates how AI and ML contribute to the sustainability, efficiency, and performance of electronic devices, including AI-assisted materials selection, intelligent manufacturing processes, predictive modeling for energy efficiency, and optimization of flexible electronic designs using machine learning. It demonstrates the effectiveness of AI and ML in achieving sustainable development in the field of green and flexible electronics.

Publisher

IGI Global

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