AI in Chemistry: A Data-Driven Framework for Managing Domino Effects
Abstract The recent innovation of AI-powered autonomous labs and plants holds immense potential in chemical engineering – but it also raises urgent questions about ecological risks. The breakneck speed of AI-driven design and synthesis of chemicals outpaces our ability to assess its ecological implications, widening th...