Journal of Artificial Intelligence and Digital Health

ABSTRACT

The integration of Artificial Intelligence (AI) with nanoscience and nanoengineering is transforming the design, optimization, and application of advanced materials across key global sectors. This study presents an empirical assessment of AI-driven nanoscience and nanoengineering applications, focusing on their impact on sustainable energy systems, healthcare delivery, and environmental remediation. A mixed-method research design was adopted, incorporating primary data collected through structured questionnaires from 120 respondents and secondary data sourced from recent peer-reviewed literature (2022–2026). Quantitative analysis using descriptive statistics and regression modeling indicates that AI integration significantly enhances nanoengineering efficiency and contributes positively to sustainability outcomes. Key findings highlight improvements in renewable energy performance, targeted drug delivery systems, and water purification technologies. However, challenges such as high implementation costs, limited adoption in developing regions, and concerns regarding nanotoxicity remain significant barriers. The study concludes that AI-driven nanoscience and nanoengineering offer substantial potential for addressing global sustainability challenges, provided that strategic investments, regulatory frameworks, and interdisciplinary collaborations are strengthened.

Keywords: Artificial Intelligence; Nanoscience; Nanoengineering; Smart Nanomaterials; Sustainable Development; Renewable Energy; Nanomedicine; Environmental Remediation