Real-time imaging of crystal strengthening mechanisms in metals. The strength limit of a metal is marked by rapid motion of crystalline defects. The associated speeds can locally approach that of sound. To probe the associated mechanisms clearly requires both spatial and temporal resolution. We propose to create a new bulk x-ray technique with an unprecedented combination of temporal and spatial resolution. We plan to exploit the technique to mediate a step change in modelling strength based on ....Real-time imaging of crystal strengthening mechanisms in metals. The strength limit of a metal is marked by rapid motion of crystalline defects. The associated speeds can locally approach that of sound. To probe the associated mechanisms clearly requires both spatial and temporal resolution. We propose to create a new bulk x-ray technique with an unprecedented combination of temporal and spatial resolution. We plan to exploit the technique to mediate a step change in modelling strength based on twinning. The formation of crystalline twins is known to dictate the strength of the light metal magnesium. A fuller understanding of the effect of twinning on strength in this metal will provide much needed confidence to implement it more widely in energy saving applications.Read moreRead less
Neuromorphic Sensing and Diagnostics with Carbon: Towards a Biomimetic Nose. Neuromorphic electronics emulates cognitive processes of the brain and like the brain, is capable of extracting features and recognising patterns within data with extremely low energy requirements. Carbon materials are naturally adapted to neuromorphic electronics and uniquely form a compatible interface for sensing molecules in liquid and gaseous media. This project aims to develop a carbon-based neuromorphic electroni ....Neuromorphic Sensing and Diagnostics with Carbon: Towards a Biomimetic Nose. Neuromorphic electronics emulates cognitive processes of the brain and like the brain, is capable of extracting features and recognising patterns within data with extremely low energy requirements. Carbon materials are naturally adapted to neuromorphic electronics and uniquely form a compatible interface for sensing molecules in liquid and gaseous media. This project aims to develop a carbon-based neuromorphic electronic sensing device and couple it with carbon based neuromorphic pattern recognition technology to build an ‘artificial nose’ for improved health and environmental monitoring. Intended outcomes will include a technology for low-cost and rapid diagnostic services.
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