In this peer-reviewed article, we demonstrate the power and effectiveness of combining Atinary SDLabs, our no-code AI Platform and Self-Driving Labs technology, with RoboRXN, the robotic platform from IBM Research in:
- automated synthetic chemistry
- successful optimization of chemical reaction conditions and routes, specifically in the iodination of terminal alkynes
- identifying the optimal set of experimental conditions and parameters through IBM’s automation platform and Atinary’s suite of machine learning optimization algorithms.
CONGRATULATIONS to all authors – members of the Atinary team (Daniel Pacheco Gutierrez, Linnea M. Folkmann, Alberto García-Durán, and co-Founder & CTO, Loïc Roch) and our collaborators at IBM Research (Oliver Schilter, Alessandro Castrogiovanni, Federico Zipoli, and Distinguished Research Scientist and Manager, Dr. Teodoro Laino).
For the full publication: https://doi.org/10.1039/d3sc05607d
