Another way to discover new structures is to use computational methods, where hundreds of structures can be evaluated in a shorter time and more cheaply compared to experiments. Ab initio random structure searching (AIRSS) has become an increasingly popular method to access new structures. It works by sampling the potential energy surface (PES) of various structural configurations in a random fashion. This method is highly parallel and there is a small number of easy-to-understand parameters to control the search efficiency. Chemical knowledge can be used to help the generation of sensible random structures, followed by geometry optimization using density functional theory (DFT) calculations. This process is repeated until low energies structures are encountered multiple times. To reduce the computational cost of DFT calculations and structure search time, one can employ crystal symmetry to bias search towards lower local energy minima and/or selectively perform geometry optimizations with various convergence criteria. The open sourced AIRSS code was used to generate structures for each chosen composition.