This symposium will highlight how computational chemistry, artificial intelligence, high-throughput experimentation, and autonomous laboratories are transforming the pace and scope of chemical research and development. We will explore applications ranging from the discovery of molecules and materials with tailored properties to elucidating complex reaction mechanisms and accelerating drug and catalyst design. We will also feature emerging uses of large language models and related AI tools for tasks such as molecular design, data interpretation, workflow automation, and scientific knowledge discovery.
