A team of researchers from the University of Illinois has developed a method to understand the decision-making process of AI in chemical research, specifically in improving light-harvesting molecules for solar energy. By combining AI with automated chemical synthesis, they created more stable molecules and uncovered key chemical principles that contribute to this stability. This approach, termed “closed-loop transfer,” not only enhances material stability but also reveals the underlying chemistry, potentially revolutionizing the development of solar cells and other materials.
For more details, you can read the full article here: