AI in Chemistry: Researchers Map Where Artificial Intelligence Delivers Value and Where It Falls Short
Researchers from Skoltech, Zelinsky Institute, and ITMO University published a comprehensive review in Chemical Society Reviews examining where AI in chemistry produces measurable value in research workflows. The study reveals that while AI methods in chemistry show promise in predicting properties and reactivity, planning chemical syntheses, and guiding automated experiments, high benchmark scores don't always translate to reliable laboratory performance.