Functional Oxide Discovery using Combinatorial Methods
Latest News
- Steven Manos gave a presentation describing the FOXD database and data mining tools at the International Energy Agency workshop: 'Accelerated Materials Discovery for Energy Storage and Conversion Devices'.
- UCL's paper, detailing their work on artificial neural network prediction methods has been accepted by J. Euro. Ceram. Soc. Please see the publications page for more information.
- Neil Alford's group have completed their move from London South Bank University to Imperial College.
The Functional OXide Discovery (FOXD) project is a pioneering combinatorial approach to materials selection and to materials research. The High Throughput Screening is based on thick-film technology and is targeted at ceramics although it can be used for other materials. The team has built a large-scale combinatorial robot based around an aspirating-dispensing ink-jet printer. Ceramic libraries can be printed, sintered and tested for a range of functional properties by the robot. The system will soon be linked to the e-science network.
The production of samples is carried out on the London University Search Instrument (LUSI) system which is based at Queen Mary College. The two groups based at Imperial College are carrying out further measurements and analysis and University College London provides analysis of the generated data and will provide the connection to RealityGrid, one of the EPSRC's e-Science Pilot Projects.
The production of samples is carried out on the London University Search Instrument (LUSI) system which is based at Queen Mary College. The two groups based at Imperial College are carrying out further measurements and analysis and University College London provides analysis of the generated data and will provide the connection to RealityGrid, one of the EPSRC's e-Science Pilot Projects.
funded by:
