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
Driving a palaeomagnetic revolution: geophysical and environmental signals from magnetic biominerals. Magnetotactic bacteria biomineralise magnetic nanoparticles. They are ubiquitous in aquatic environments, so their inorganic remains (magnetofossils) should give rise to sedimentary palaeomagnetic signals. Ancient magnetofossil identifications were sparse until new techniques recently demonstrated their extensive geological occurrence. This project proposes to determine: the mechanisms by which ....Driving a palaeomagnetic revolution: geophysical and environmental signals from magnetic biominerals. Magnetotactic bacteria biomineralise magnetic nanoparticles. They are ubiquitous in aquatic environments, so their inorganic remains (magnetofossils) should give rise to sedimentary palaeomagnetic signals. Ancient magnetofossil identifications were sparse until new techniques recently demonstrated their extensive geological occurrence. This project proposes to determine: the mechanisms by which magnetofossils contribute to sedimentary palaeomagnetic signals; if magnetofossil occurrences provide information about the marine carbon cycle; and, if magnetofossil chemistry can constrain the depth of sedimentary palaeomagnetic signal acquisition. These are major outstanding questions in sedimentary palaeomagnetism.Read moreRead less
First-order reversal curve diagrams & quantitative environmental magnetism. The project intends to enable full quantitative separation of magnetic mineral mixtures in natural materials to unlock details of important environmental processes. Most efforts to understand ancient variations of Earth’s magnetic field using palaeomagnetism, or climate change using environmental magnetism, are complicated by the presence of mixed assemblages of magnetic rock-forming minerals. Understanding the recording ....First-order reversal curve diagrams & quantitative environmental magnetism. The project intends to enable full quantitative separation of magnetic mineral mixtures in natural materials to unlock details of important environmental processes. Most efforts to understand ancient variations of Earth’s magnetic field using palaeomagnetism, or climate change using environmental magnetism, are complicated by the presence of mixed assemblages of magnetic rock-forming minerals. Understanding the recording of palaeomagnetic information or decoding environmental processes requires separate quantification of each mineral component. The main aim of the project is to develop a method to unmix the magnetic components present in environmental and geological materials. The proposed approach is expected to unlock a new quantitative era in rock magnetism, and to have impacts in physics as well as Earth science.Read moreRead less