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arXiv — cs.AI preprintsInternational2 October 2026

Atoms to Processes: The Role of Artificial Intelligence and Machine Learning in Chemical Engineering

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arXiv:2610.02014v1 Announce Type: new Abstract: The rapid maturation of artificial intelligence (AI) and machine learning (ML) has catalyzed a profound shift in how chemical engineering problems are formulated, analyzed, and solved. Advances in computing, data availability, and learning algorithms have enabled AI/ML methods to impact applications spanning atomic-scale simulations, materials and catalyst discovery, transport and thermodynamics, separations, process systems engineering, and industrial operations. This article provides a perspective on recent methodological developments and repre
— arXiv — cs.AI preprints

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