Atomic scale imaging with high coherence electrons and ions. This project aims to combine a cold atom electron-ion source with a commercial microscope column for atomic-scale imaging in biosciences and materials science. Nanoscale imaging with electron and ion microscopy are tools for investigating the world at the atomic scale, underpinning development in modern technologies from semiconductor devices to medical treatments. This project will use ideas from laser cooling of atoms and atom optics ....Atomic scale imaging with high coherence electrons and ions. This project aims to combine a cold atom electron-ion source with a commercial microscope column for atomic-scale imaging in biosciences and materials science. Nanoscale imaging with electron and ion microscopy are tools for investigating the world at the atomic scale, underpinning development in modern technologies from semiconductor devices to medical treatments. This project will use ideas from laser cooling of atoms and atom optics to achieve new imaging modalities for time-lapse imaging of fundamental processes at the nano-scale. It will allow increasingly small scale resolution of fundamental processes at the nano-scale.Read moreRead less
X-ray imaging and magnetic resonance approach for enhanced oil recovery. This project aims to develop an efficient multi-scale modelling capability to quantify the effect of two-phase fluid flow within porous material by modelling rock wettability heterogeneity and alteration on two-phase flow performance for heterogeneous rock. Super-resolution methods combined with a deep learning approach will be used to determine a digital representation of reservoir rock, achieving an unprecedented combinat ....X-ray imaging and magnetic resonance approach for enhanced oil recovery. This project aims to develop an efficient multi-scale modelling capability to quantify the effect of two-phase fluid flow within porous material by modelling rock wettability heterogeneity and alteration on two-phase flow performance for heterogeneous rock. Super-resolution methods combined with a deep learning approach will be used to determine a digital representation of reservoir rock, achieving an unprecedented combination of resolution necessary to resolve small-scale fluid connectivity and field of view required to capture heterogeneity. The project expects to develop a workflow to populate a high-resolution model with wettability parameters by combining micro-CT imaging with nuclear magnetic resonance measurements. This improved understanding should provide significant benefits by enhancing our capability to optimise enhanced oil and gas recovery programs.Read moreRead less