Steven Dargaville

Research Associate

Steven’s research focuses on modelling and numerical methods for energy systems. His PhD was centered around the modelling of LiFePO4, a battery chemistry that can undergo a phase change during charge/discharge. Solving the large, coupled systems of nonlinear PDEs that result requires the use of appropriate discretisation methods (such as finite volume) along with parallel, Newton-Krylov schemes and extensive validation and verification against experimental data. His postdoctoral research is based on developing numerical methods for Boltzmann transport applications, including civil nuclear, coupled CFD/radiative transfer, lattice Boltzmann, spectral wave, etc. These include adaptive schemes and error metrics, FEM and wavelet based discretisations across the space/angle/energy phase-space and large-scale parallelism.