This chapter presents a system design and architecture that incorporates AI, IoT, and ML-based solutions for data collection, analysis, and interpretation in the nano-materials industry. It consists of three components: data acquisition, data analytics, and decision-making. The system incorporates robust security measures, such as authentication, access control, encryption, and Industry 4.0 principles, to ensure the security and privacy of data. The proposed system was used to collect, analyze, and interpret data from the production, resulting in improved quality, increased efficiency, and reduced waste. AI, IoT, and ML-based solutions have the potential to revolutionize nano-materials research and production, improving productivity, reducing costs, and improving quality.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.