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Details of Grant 

EPSRC Reference: GR/S85368/01
Title: Extending High Throughput Technologies to Chemical Process Development (The automation of mechanism determination)
Principal Investigator: Wright, Professor AR
Other Investigators:
Willis, Dr M Martin, Professor EB Scott, Professor S
Whiting, Professor A Morris, Professor AJ
Researcher Co-Investigators:
Project Partners:
Chemical Industries Association Ltd Faraday: INSIGHT (Chemical throughput) Foresight Centre for Process Analytics
One North East Centre for University of Strathclyde
Department: Chemical Engineering & Advanced Material
Organisation: Newcastle University
Scheme: Standard Research (Pre-FEC)
Starts: 01 October 2004 Ends: 30 June 2008 Value (£): 1,243,236
EPSRC Research Topic Classifications:
Chemical Synthetic Methodology Design of Process systems
Gas & Solution Phase Reactions
EPSRC Industrial Sector Classifications:
Chemicals Pharmaceuticals and Biotechnology
Related Grants:
Panel History:  
Summary on Grant Application Form
The project aims to research and develop enabling technologies, which will remove a significant bottleneck in high-speed chemicals process innovation and development. The overarching aim is to automate the determination of reaction mechanism and kinetics so that it becomes a routine feature of academic research and chemical process development. This is a new application of high throughput technologies (HTT), and requires fundamental research to develop new enabling technologies. If successful, the project would facilitate the automated determination of reaction mechanism and kinetics to become a routine feature of academic research and chemical process development. The project provides an important and significant bridge from chemistry-based HTT into chemical engineering product and process R&D leading to final production. The significant multidisciplinary research challenges required to extend the application domain of HTT from discovery into product and process R&D, that will necessitate the encapsulation of chemical engineering perspectives, have yet to be addressed. The integration of high-speed experimentation and novel design of experiments procedures alongside statistical data mining, predictive modelling and simulation methodologies has the potential to deliver substantial reductions in terms of time and cost to market.
Key Findings
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Organisation Website: http://www.ncl.ac.uk