Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

2 April 2024 | Mutha Nandipati, Olukayode Fatoki, Salil Desai
This review article explores the integration of nanomanufacturing and artificial intelligence (AI) in the context of Industry 4.0, focusing on the evolution of nanomaterials and nanomanufacturing processes. It discusses the application of AI tools in nanomaterial synthesis, process optimization, and high-fidelity characterization. The paper delves into various machine-learning and deep-learning algorithms used for analyzing nanoscale images, designing nanomaterials, and ensuring nano-quality assurance. Challenges associated with the application of AI models, such as data availability, understandability, security, and regulatory compliance, are outlined. The article also examines the prospects of advanced AI algorithms like reinforcement learning, explainable AI (XAI), and big data analytics in material synthesis, manufacturing process innovation, and nanosystem integration. The review highlights the pivotal role of nanomaterials, nanomanufacturing, digital manufacturing, and AI in driving advancements in various fields, including medicine, robotics, and electronics.This review article explores the integration of nanomanufacturing and artificial intelligence (AI) in the context of Industry 4.0, focusing on the evolution of nanomaterials and nanomanufacturing processes. It discusses the application of AI tools in nanomaterial synthesis, process optimization, and high-fidelity characterization. The paper delves into various machine-learning and deep-learning algorithms used for analyzing nanoscale images, designing nanomaterials, and ensuring nano-quality assurance. Challenges associated with the application of AI models, such as data availability, understandability, security, and regulatory compliance, are outlined. The article also examines the prospects of advanced AI algorithms like reinforcement learning, explainable AI (XAI), and big data analytics in material synthesis, manufacturing process innovation, and nanosystem integration. The review highlights the pivotal role of nanomaterials, nanomanufacturing, digital manufacturing, and AI in driving advancements in various fields, including medicine, robotics, and electronics.
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