Azam Mina

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 design, pharmaceutical development, reactor optimization, process control, and sustainability initiatives.