Single-sample unmixing with machine learning: a rock magnetic frontier. Magnetic rock-forming minerals can record important information about Earth’s magnetic field and climatic changes. In rock magnetism, we seek to quantify magnetic property variations in geological materials. Existing quantification methods are limited and provide bulk characterisation of all magnetic particles in a material rather than diagnostic information concerning individual mineral components. This Project aims to deve ....Single-sample unmixing with machine learning: a rock magnetic frontier. Magnetic rock-forming minerals can record important information about Earth’s magnetic field and climatic changes. In rock magnetism, we seek to quantify magnetic property variations in geological materials. Existing quantification methods are limited and provide bulk characterisation of all magnetic particles in a material rather than diagnostic information concerning individual mineral components. This Project aims to develop a machine-learning framework to “unmix” and quantify each magnetic mineral component in single natural samples, and will unlock a new quantitative era in rock magnetism. It is expected to have impact beyond Earth science by enabling magnetic characterisation in physics, materials science, and industry.Read moreRead less
Spanning ten billion scales from millimetre turbulence to global circulation. This project aims to explain the role of convection in the ocean. Convection is a key climate process yet it remains one of the most poorly understood mechanisms in the ocean and is crudely represented in climate models, leading to uncertainties in predictions of heat transport, climate change, polar ice loss and sea level rise. Using a unique turbulence-resolving approach and high-performance computing, the project wi ....Spanning ten billion scales from millimetre turbulence to global circulation. This project aims to explain the role of convection in the ocean. Convection is a key climate process yet it remains one of the most poorly understood mechanisms in the ocean and is crudely represented in climate models, leading to uncertainties in predictions of heat transport, climate change, polar ice loss and sea level rise. Using a unique turbulence-resolving approach and high-performance computing, the project will determine both the global role of buoyancy-driven convection in the broad ocean circulation and the local turbulence controls on melting rates of Antarctic ice-shelves. This will contribute to the formulation of better climate models and keep Australia at the forefront of oceanography and environmental fluid dynamics.Read moreRead less