Application of artificial intelligence and computer systems in the field of nanotechnology

Abstract

Artificial intelligence (AI) and computer systems are revolutionizing the field of nanotechnology by enabling precision, efficiency, and innovation at the nanoscale. This convergence facilitates advancements across diverse domains such as materials science, medicine, energy, and computing. AI enhances imaging techniques like atomic force microscopy (AFM) and scanning electron microscopy (SEM), overcoming physical limitations and enabling accurate nanoscale analysis. In material design, AI assists in simulating molecular interactions and optimizing nanostructures for applications in electronics, aerospace, and energy storage. In healthcare, AI-driven nanosensors and targeted drug delivery systems are transforming diagnostics and therapeutics, offering personalized medicine solutions. Furthermore, nanotechnology supports AI development through advanced hardware components like nanoscale transistors and memory devices, improving computational speed and energy efficiency. Emerging fields such as quantum computing are also benefiting from nanoscale innovations, promising exponential growth in AI processing power. This synergistic integration of AI and nanotechnology is reshaping industries, addressing global challenges like climate change and healthcare disparities, and paving the way for transformative technological solutions.