This project explores nuclear scattering using shell-model-derived potentials to better understand complex nuclear interactions. Students will enhance coding skills, deepen quantum mechanics knowledge, and apply high-performance computing to study processes relevant to nuclear astrophysics and nucleosynthesis, shedding light on the origins of the chemical elements. 

Proton-boron fusion has the potential to deliver limitless clean energy. This project will aims to understand the physics underpinng this important nuclear reaction by developing machine learning approaches to analyse complex reaction probabilities.

This project investigates anthropogenic radionuclides from the 1950s–60s nuclear tests in various marine sample types near the Montebello Islands. By analysing isotopic signatures, it aims to distinguish contributions from Montebello and Pacific Proving Ground tests, supporting environmental tracing, dose assessment, and collaboration with institutions like ANSTO and ARPANSA.

Quantum many-body modelling of the atomic nucleus will help us understand how dark matter particles interact with atomic nuclei, as well as how many scattering events we can expect in underground laboratory search for dark matter. 

Improved understandings of nuclear fission is key for many areas of science, including heavy element formation in supernova and neutron-star mergers, making safer nuclear reactors, and the formation and properties of long-lived superheavy isotopes. Students involved in this project will further our understanding of fission across the chart of nuclides.

This project aims to develop new methods to rapidly simulate radiation in large complex environments to support the identification of radiological threats and accident response.

This project aims to make measurements that help inform us on how new superheavy elements can be made in the lab. 

This project will allow us to understand the time-dependence of quantum tunnelling and nuclear fusion.

The project is to improve our understanding and description of quantum tunnelling of interacting particles using tools from quantum field theory, quantum many-body systems, and quantum information. 

This project aims to gain fundamental insights into the mechanisms of energy dissipation in nuclear collisions by making new measurements that will aid in the development of new models of nuclear fusion.

Work with RadInnovate (ARC Training Centre) and industry partner AdvanCell on an MPhil to characterise materials for use in their Th-228 radiopharmaceutical source and generator. A fully funded stipend and top-up are available, along with an industry placement.