Novelty in the materials science space can take on a variety of meanings depending on the subfield and the specific chemical and structural features that define differentiation therein. In thermoelectric materials, for example, the type, concentration, and spatial distribution of dopants serve as key differentiating features between compounds. At a general level, one can define material novelty along chemical and structural axes. Chemical differentiation is expressed in the use of different elements and formula templates. Structural distinctions are then drawn from the arrangement of these elements. Distinction can be quantified as a distance between materials along these axes. Two prominent approaches for computing chemical and structural distance are the element mover's distance (ElMD) and local structure order parameters (LoStOP) , respectively. ElMD computes the Wasserstein distance between compounds discretized on a modified Pettifor scale , which aims to follow researcher intuition on element similarity. On the structural side, LoStOPs capture deviations from ideal coordination environments and compute the Euclidean distance between structural features. The reader is referred to the relevant publications for further information on these distance metrics. While ongoing research continues to advance materials distance representations , this analysis employs the widely-adopted ElMD and LoStOP metrics.