A Novel Approach Combining High-Throughput and Modelling Methods for Accelerated Rational Catalyst Development with Application to Conversion of Biomass Waste into Biorenewable Fuels and Chemicals
Principal Investigator: Dr Moritz von Stosch, School of Chemical Engineering and Advanced Materials
Providing mankind with materials and energy in a sustainable way will require a more efficient and entirely different use of natural resources. Novel synthesis routes for fuels and chemicals will have to be developed in which waste streams can be converted into essential fuel and chemical streams to fulfil the needs of the society. The development of new manufacturing processes critically depends on the design of new catalysts. Catalytic materials enable and facilitate the conversion of raw materials into products at milder process conditions and with reduced energy consumptions. However, nowadays, catalyst development is still carried out using trial and error methods, which are slow, undirected and unreliable.
- Develop a rational and efficient computational approach for development of catalysts for biorefining applications through an interdisciplinary work programme.
- Combine hybrid models, data mining, machine learning algorithms and high-throughput experimentation.
- Provide the enabling factor for new material and energy streams to have ‘enough for all and forever’.