An average of the bulk moduli for the k-nearest neighbors (kNNs) is computed as a poor man's gradient as one type of proxy for chemical uniqueness. In this work, we use k = 10 to define the local neighborhood of influence, where kNNs are determined via the ElMD. Compounds which exhibit high predicted target bulk moduli relative to their kNNs are considered unique in terms of property gradient, despite having similar chemical composition.