Clayton Research Group

The group works at the interface of digital chemistry, machine learning and process engineering within the Institute of Process Research and Development at the University of Leeds. We are focused on advancing sustainable multistep synthesis of small molecules. Our interdisciplinary team develops and combines autonomous reactors and optimisation algorithms to explore a wide variety of multistep continuous flow processes. This approach combines advanced computational techniques with practical experimentation, enabling the seamless incorporation of digital methods into synthetic chemistry. We exploit these tools to primarily target the integration of different (photo-, bio-, chemo-) catalytic reactions into cascades, with the overall goal of reducing the carbon footprint of chemical manufacturing.

News

14/11/2024: Congratulations to Dr Sarah Boyall for successfully defending her PhD thesis titled: “Continuous Manufacturing with Carbon Supported Nanoparticle Catalysts for the Self-Optimisation of Heterogeneous Reduction Reactions”. Sarah is now a Technical Lead at SOLVE. Wishing her continued success in the next chapter of her career!

10/11/2024: Adam Clayton will be speaking at the next AIchemy Monthly Webinar on Weds 20 Nov 2024, 13:00 - 14:00 (UTC) London, and will be sharing the group’s work on ‘Self-Optimising Approaches for Flow Synthesis’. Thanks to the AIchemy hub for the invite! You can register for the webinar at: https://bit.ly/4hcx6IT

08/11/2024: The group website has gone live! Explore to learn more about our research interests and the team behind the work.


Research Themes

Digital Chemistry

Reaction Optimisation

Multistep Flow Synthesis