Projects: Projects for Investigator |
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Reference Number | EP/R029431/1 | |
Title | HIGH END COMPUTING MATERIALS CHEMISTRY CONSORTIUM | |
Status | Completed | |
Energy Categories | Renewable Energy Sources(Solar Energy, Photovoltaics) 5%; Not Energy Related 80%; Other Power and Storage Technologies(Energy storage) 5%; Hydrogen and Fuel Cells(Fuel Cells, Stationary applications) 5%; Hydrogen and Fuel Cells(Fuel Cells, Mobile applications) 5%; |
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Research Types | Basic and strategic applied research 100% | |
Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Chemistry) 50%; PHYSICAL SCIENCES AND MATHEMATICS (Physics) 50%; |
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UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
Principal Investigator |
Dr SM Woodley No email address given Chemistry University College London |
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Award Type | Standard | |
Funding Source | EPSRC | |
Start Date | 01 November 2018 | |
End Date | 31 December 2022 | |
Duration | 50 months | |
Total Grant Value | £489,316 | |
Industrial Sectors | Chemicals; Energy; Environment; Pharmaceuticals and Biotechnology | |
Region | London | |
Programme | NC : Infrastructure | |
Investigators | Principal Investigator | Dr SM Woodley , Chemistry, University College London (99.985%) |
Other Investigator | Dr GM Day , School of Chemistry, University of Southampton (0.001%) Professor N Harrison , Chemistry, Imperial College London (0.001%) Dr K Jelfs , Chemistry, Imperial College London (0.001%) Professor RL Johnston , School of Chemistry, University of Birmingham (0.001%) Dr JK Christie , Inst of Polymer Tech and Materials Eng, Loughborough University (0.001%) Professor S Islam , Materials, University of Oxford (0.001%) Dr DJ Willock , Chemistry, Cardiff University (0.001%) Professor JH Harding , Engineering Materials, University of Sheffield (0.001%) Professor R Catlow , Chemistry, University College London (0.001%) Dr B Slater , Chemistry, University College London (0.001%) Dr DM Duffy , Physics and Astronomy, University College London (0.001%) Professor A Shluger , Physics and Astronomy, University College London (0.001%) Dr KP Mckenna , Physics, University of York (0.001%) Dr C Lorenz , Physics, King's College London (0.001%) Dr MB Watkins , School of Maths and Physic, University of Lincoln (0.001%) |
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Industrial Collaborator | Project Contact , Johnson Matthey plc (0.000%) |
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Web Site | ||
Objectives | ||
Abstract | High End Computing (HEC), or supercomputers, provides exciting opportunities in understanding and increasingly predicting the properties of complex materials through atomistic and electronic structure modelling. The scope and power of our simulations rely on the software we create to match the expanding capabilities provided by the latest development in hardware. Our project will build on the expertise in the UK HEC Materials Chemistry Consortium, to exploit the UK's world-leading supercomputer in a wide-ranging programme of research in the chemistry and physics of functional materials that are used in applications and devices including solar cells, light powerful eco batteries, large flexible electronic displays, self-cleaning and smart windows, improved mobile phones, cheaper and more efficient production of bulk and fine chemicals from detergents to medicines; and thus transforming lives of people and society.The project will develop five themes in applications and three on fundamental aspects of materials, bringing together the best minds of the UK academic community who represent over 25 universities. Close collaboration and scientific interactions between our themes will promote rapid progress and advancement of novel solutions benefiting both applied and fundamental developments.Tuning properties of materials forms the backbone of research in Energy Generation, Storage and Transport, which is a key application theme for UK's economy, which relies heavily on power consumption. We will target the performance of materials used in both batteries and fuel cells; and novel types of solar cells. In Reactivity and Catalysis, we will develop realistic models of several key catalytic systems. Targets include increasing efficiency in industrial processes and more efficient reduction in pollution, including exhaust fumes of petrol or diesel vehicles. New Environmental and Smart Materials will safely store radioactive waste, capture greenhouse gases for long-term storage, filter toxins and pollutants from water, thus improving our environment. This theme will also focus on smart materials used in self cleaning windows, and windows that allow heat from sunlight to enter or be reflected depending on the current temperature of the glass. Research in Soft Matter and Biomaterials will reveal the fundamental processes of biomineralisation, which drives bone repair and bone grafting; with a focus on synthetic bone replacement materials. Soft matter also poses novel and fascinating problems, particularly relating to the properties of colloids, polymers and gels. Materials Discovery will support both screening and global optimisation based approaches to a broad range of materials. Applications include, for example, screening different chemical dopants, which directly affects a targeted physical property of the material, to improve the desired property of a device, and searching the phase diagram for solid phases of a pharmaceutical drug molecule. As different solid phases of a molecule will typical dissolve at different rates, it is extremely important to administer the correct form or a higher/lower dose will result.Fundamental themes cover research in physics and chemistry of matter organised at all scales from Bulk to Surfaces and Interfaces to Low Dimensional Materials (e.g. nanotubes and particles). The challenges are in addressing the morphology, atomic structure and stability of different phases; defects and their effects; material growth, corrosion and dissolution; the structure and behaviour of interfaces. Example applications of nanomaterials include: in suntan lotions, smart windows and pigments, drug delivery, etc. To undertake these difficult and challenging simulations we will need computer software that can accurately model, both reproduce and predict, the materials of interest at the atomic and electronic scale. It is essential that our software is optimised for performance on the latest supercomputers | |
Data | No related datasets |
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Projects | No related projects |
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Publications | No related publications |
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Added to Database | 17/12/18 |