A Comprehensive Review on the Development of Nanotechnology by Artificial Intelligence

Abstract

Many sectors, including healthcare, energy, and materials research, stand to gain greatly from the combination of nanotechnology
(NT) with artificial intelligence (AI). Through its examination of AI-driven NT development, this research emphasizes how
AI has the ability to speed the discovery, design, and growth of nanomaterials and nanosystems, so revolutionizing their fabrication.
Optimised nanosensors for biological monitoring, improved drug administration, and energy usage prediction based on
material properties are just a few possible uses. Problems with existing AI systems include a lack of reliable datasets and a lack
of mechanisms to connect theoretical models with real-world validation. Algorithmic prejudice, data privacy, and social repercussions
are all important ethical factors to consider. To guarantee equitable and advantageous AI-driven NT integration, the
research stresses the significance of responsible and ethical development, open legislation, and stakeholder engagement. If we
want to make the most of this confluence, we need to work together across disciplines in academia, address ethical problems,
and get the public involved. By using this route, we want to increase the beneficial effects of AI-NT synergy in a number of
domains.