Research in Nguyen group focuses on understanding chemical processes and applying that knowledge to improve them for green chemistry and manufacturing. The current main research areas in the group are:
1. Machine Learning methodologies to generate intepretable prediciton models chemical properties, reactivity and reaction outcomes, including the use of green solvents, impurities and workup.
2. High throughput computational and analytical techniques to generate high quality data for AI/Machine Learning in chemical sciences.
3. Theoretical and practical framework for discovery and development of water-accelerated reactions as green processes in High Value Chemical Manufacture.
Our research tools include AI/Machine Learning and computational chemistry, structure-reactivity relationships, spectroscopic studies, kinetic analysis and models, and electrochemical chemistry. We are also part of the iPRD (https://www.iprd.leeds.ac.uk), and have access to a wide range of equipment and expertise in batch and flow reactors from lab scale to pilot scale.
Some of our recent research grants are listed below: