Data-driven discovery in the chemical sciences Faraday Discussion

Join us in Oxford in September 2024 for this addition to our Faraday Discussion series. With over a century of history and more than 300 meetings, Faraday Discussions have been at the forefront of the physical sciences and many Discussions have become landmark meetings in their field. This Discussion will focus on the increasingly central role of big data, machine learning, and artificial intelligence in the chemical sciences. We aim to critically discuss these topics, and to explore the question how data can enable new discoveries in chemistry, now and in the future. We are particularly aiming to bring together different communities within chemistry – materials and molecular, in both academic and industrial research. The meeting sessions will combine different viewpoints and strive to foster new connections, ideas, and research directions. Themes The Discussion will involve four central themes – each focused on different aspects of chemical "discovery", and each aiming to promote the exchange of ideas between the molecular and materials communities: - Discovering chemical structure - Discovering structure–property correlations - Discovering trends in big data - Discovering synthesis targets