AI and Chemputation Drive Discovery of Organic Laser Emitters in Global Collaboration published in Science
Researchers from a global collaboration, including the Digital Chemistry group at the University of Glasgow, have developed a ground-breaking decentralized workflow for discovering organic laser emitters, leveraging AI, chemputation, and the programming language for chemistry, XDL. This innovative approach integrates experimental infrastructures across multiple locations using a central cloud hub for data transfer, AI-guided experiment design, and logistics management. Chemputation automates the chemical synthesis processes, ensuring precision and repeatability, while XDL facilitates the standardized communication and control of laboratory instruments across different sites. The team synthesized and tested over 150,000 target materials, discovering 21 new small-molecule emitters with superior performance. This research demonstrates the potential of AI, automation, and advanced digital technologies to revolutionize materials discovery, and sets a new standard for decentralized scientific collaboration.
The full paper can be viewed on the Science website.