Bright x-ray beams from laser-driven microplasmas. This project aims to develop a new generation of bright, laser-like x-ray sources for laboratory use. X-ray sources underpin key diagnostic techniques in materials science, advancing applications from structural engineering through to ore processing and energy storage. However, the limited brightness of present-day laboratory x-ray sources restricts the utility and range of these diagnostic techniques. This research intends to use intense lasers ....Bright x-ray beams from laser-driven microplasmas. This project aims to develop a new generation of bright, laser-like x-ray sources for laboratory use. X-ray sources underpin key diagnostic techniques in materials science, advancing applications from structural engineering through to ore processing and energy storage. However, the limited brightness of present-day laboratory x-ray sources restricts the utility and range of these diagnostic techniques. This research intends to use intense lasers to create microscopic plasmas and drive high harmonic generation. The high harmonic generation process is already used to create laser-like ultraviolet light. By optimising the characteristics of the plasma medium, the project aims to extend bright high harmonic generation to the x-ray regime.Read moreRead less
A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst provid ....A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst providing valuable training/education for the community stakeholders involved in the production of the system. The research outcome will be globally significant, enabling end users to meet key water quality objectives over time, and considerably increase productivity in the Australian agriculture/aquaculture industries.Read moreRead less