AI-Based Metamaterials Observation Device: Revolutionizing Material Characterization through Artificial Intelligence

Noushad Yashan; Aayushi Arya

doi:10.59367/sbrwge82

Authors

Noushad Yashan Managing Director, Yaavik Materials & Engg. Pvt Ltd, Hyderabad, Telangana-500081
Aayushi Arya Post Doctorate Researcher, Atlantic International University, Honolulu, HI 96813, United States.

DOI:

https://doi.org/10.59367/sbrwge82

Keywords:

Artificial Intelligence, Metamaterials, Observation Devices, Machine Learning

Abstract

In materials science and engineering, metamaterials—with their designed features beyond those of nature—have become a frontier. But the very complexity that gives these materials their remarkable powers also makes great difficulties for their observation and characterizing. To address these difficulties, this work presents a novel artificial intelligence-based metamaterials observation device combining modern imaging hardware with cutting-edge machine learning algorithms. Comparatively to conventional observation techniques, our system shows amazing gains in accuracy, speed, and the capacity to detect hitherto undetectable elements. By means of a sequence of extensive experiments and case studies, we demonstrate the capacity of the device to transform metamaterials research, so possibly fostering innovations in many spheres, from medical imaging to telecommunications. The results show that artificial intelligence-driven methods not only improve our capacity to define known metamaterials but also create new paths for finding unique characteristics and behaviours, so accelerating the rate of invention in material science and engineering.

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