Solving the solvent problem in chemical modelling. This project aims to produce highly accurate, user-friendly chemical solvent models using interdisciplinary theoretical chemistry techniques. The benefits of these novel models are extremely broad since chemical modelling is more impactful than traditional laboratory based techniques in solving multi-faceted modern chemical problems. The proposed outcomes of the project are significant, as they will transform how applied research solves difficul ....Solving the solvent problem in chemical modelling. This project aims to produce highly accurate, user-friendly chemical solvent models using interdisciplinary theoretical chemistry techniques. The benefits of these novel models are extremely broad since chemical modelling is more impactful than traditional laboratory based techniques in solving multi-faceted modern chemical problems. The proposed outcomes of the project are significant, as they will transform how applied research solves difficult and expensive real world chemical problems by allowing researchers to reliably include solvents in their models. It will have economic benefits for the chemical, mining and materials sectors in Australia, which represent billion-dollar industries.Read moreRead less
Information transfer in topological matter: how relativity speeds up memory. In the 21st century our economy and security rely on fast information processing, which requires state-of-the-art computer memory. Emerging memory technologies rely on magnets, which retain data during power outages and switch faster than currently used semiconductor devices. This Fellowship will establish a breakthrough paradigm for ultra-fast information processing using magnets and newly-discovered topological materi ....Information transfer in topological matter: how relativity speeds up memory. In the 21st century our economy and security rely on fast information processing, which requires state-of-the-art computer memory. Emerging memory technologies rely on magnets, which retain data during power outages and switch faster than currently used semiconductor devices. This Fellowship will establish a breakthrough paradigm for ultra-fast information processing using magnets and newly-discovered topological materials. It will develop a computational tool to enhance the switching rate of devices incorporating topological materials that emulate industry blueprints for memory building blocks. If successful, it will vastly improve the speed and functionality of computer memory, logic elements, artificial intelligence devices and sensors.Read moreRead less