AIMD is a powerful tool for studying the dynamics of superionic phases, in part because it does not require parameterisation from experimental data. AIMD simulations, however, are computationally costly and are typically limited to simulations of hundreds of atoms over timescales of picoseconds . While this can be sufficient to characterise the diffusive regime in a superionic phase, this is often inadequate for studying diffusion at lower temperatures, where ion transport is much slower. Empirical potentials can be used to study longtimescale diffusion behaviour in poorly conducting lowtemperature systems . These potentials can, however, be challenging to parameterise well and may not equally describe both the normal and superionic regimes.