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.

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.

The measurement of the lifetimes of excited nuclear states is foundational for understanding nuclear excitations. This project covers three measurement methods that together span the nuclear lifetime range from about 100 femtoseconds to many nanoseconds. The project can include equipment development, measurement, and the development of analysis methodology (programming and computation). 

This project aims to discover if the long-held concept of low-energy nuclear vibrations holds true under scrutiny from Coulomb excitation and nucleon-transfer reactions. 

New methods to determine the shapes of atomic nuclei via the measurement of their electric quadrupole moment are being developed. Most nuclei are prolate spheroids - shaped like an Australian Rules football. As well as giving a picture of the nucleus, the quadrupole moment is an important observable to test theory. 

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. 

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

Large scale quantum many body simulations are performed to study the quantum shell effects that determine the final properties of the nuclear fission fragments. 

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 will use nuclear reactions to study the basic make-up of atomic nuclei at the quantum level, and investigate the impact of nuclear structure on sub-atomic forces and fundamental physics.