Acquisition functions come in many flavours that provide different trade-offs between exploitation and exploration. Exploitation refers to sampling regions of design space where the target is likely to achieve a minimum or maximum, while exploration visits regions of high model uncertainty where data has not been acquired before. In this work, we generate acquisitions with the explorationmodified lower confidence bound (eLCB) function as well as through the standard deviation of the model (which we term the pure exploration function).