Artificial Intelligence in Chemical Engineering: Past, Present, and Future Perspectives
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Abstract
Over the last few decades, Artificial Intelligence (AI) has profoundly transformed the landscape of chemical engineering, marking a journey from early rule-based systems to the sophisticated machine learning and deep learning techniques of today. This comprehensive review explores the historical development, current state-of-the-art applications, and future prospects of AI in chemical engineering. From optimizing processes and predictive maintenance to designing novel materials and drugs, AI has seamlessly integrated into diverse aspects of chemical engineering, enhancing efficiency and sustainability. The paper envisions a future where AI-driven automation and adaptive control systems play a central role in chemical processes, addressing challenges while emphasizing responsible innovation. Ultimately, AI's transformative impact promises to redefine the boundaries of efficiency, sustainability, and innovation in the field of chemical engineering.