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Details of Grant 

EPSRC Reference: GR/R82074/01
Title: Predictive Modelling and Mechanochemical Processing of New Mg-Based Hydrogen Storage Materials
Principal Investigator: Guo, Professor ZX
Other Investigators:
Song, Dr Y
Researcher Co-Investigators:
Project Partners:
DSTL QinetiQ
Department: Materials
Organisation: Queen Mary University of London
Scheme: Standard Research (Pre-FEC)
Starts: 01 December 2002 Ends: 30 November 2005 Value (£): 210,456
EPSRC Research Topic Classifications:
Materials Characterisation Materials Processing
Sustainable Energy Vectors
EPSRC Industrial Sector Classifications:
Energy No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
Limited fossil fuels C02 induced global warming, and vehicle-related air pollution are causing a worldwide drive to develop alternative/clean energyresources, much of which depending on the safe storage of hydrogen in a solid of sufficient capacity and high charging/discharging kinetics at low temperature /pressure. Many experimental investigations of H-storage systems have been carried out in the past, but mainly by trial and error, and thesystems are unsatisfactory for current industrial requirements. Mg-based hydrides hold great promise among various candidates, but suffer from low kinetics and high dissociation temperature. Here, the proposal aims to clarify scientifically the effects of chemical alloying and processing on H storagecharacteristics of Mg-based materials using both artificial neural network (statistic) and electronic structural (deterministic) simulations; and to develop technologically a mechanochemical powder metallurgy route to synthesise finely/nano- structured hydrogen storage materials of desirable phasecomposition, H-storage capacity, dissociation temperature, kinetics, and cycle life, guided by model predictions. A range of processing and characterisation techniques, including a novel powder coating method, will be used to process, evaluate and optimise the storage materials.
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