Accelerating innovation in polymer science by combining polymer chemistry and automation
Welcome to the Warren Group website!
Solving some of the biggest challenges facing society will require the developement of new, higher performing, sustainable materials. These will not only need to meet current performance, but also open the door to future applications and products. Polymers are a particularly important class of materials which are already making a huge contribution to solving some important societal challenges. For example they act as central components within a range of lubricants, increase crop yields by enhancing the efficiency of pesticides and can facilitate targeted delivery of medicines. As such they are critical to our quality of life and will inevitably play a role in meeting future needs. However, polymers have many negative credentials predominantly owing to their fossil fuel origins and unwanted build up in natural systems. In our research group we are striving to accelerate discovery of the next generation of polymer materials through the implementation of advanced chemistry and digitally enabled reactor platforms. We envisage both the polymer products and processes used to discover them will help deliver a sustainable future.
Work from the group was featured on the University website. You can read it here.
Join our group for a funded 2025 PhD to advance our Self-Driving Lab (SDL) technologies. You'll develop rapid screening methods for polymers, nanoparticles, and nanocomposites under complex reaction conditions. This involves evaluating and adapting online monitoring tools for quick determination of critical quality attributes (CQAs), then assessing experimental screening campaigns using programmed screening or Bayesian optimization. You'll characterize materials for their properties and application performance. Sustainability will be central, employing a quality-by-design approach to optimize the performance-sustainability trade-off.
Self-Driving Laboratories for Advanced Sustainable Materials Synthesis
We have just published not one, but two important papers on "self-driving laboratories". One of these focuses on aqueous emulsion polymerisation, whilst the other uses "many objective" optimisation techniques to target polymer nanoparticles with defined sizes. You can read them below:
Self-driving laboratory for emulsion polymerization
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