AI/ML in Chemical Engineering: From molecular design to industrial process optimization
This comprehensive narrative review synthesizes recent advances in AI/ML methodologies – including graph neural networks, physics-informed neural networks, deep reinforcement learning, and generative artificial intelligence – and critically evaluates their applications spanning molecular property prediction, catalyst d...