For ternary systems, a similar trend is observed where standard materials demarcate themselves from those interesting and missing. This is particularly evident in Mat2vec, Megnet16, and Oliynyk embeddings in Figure . It is worth highlighting that the standard and missing materials have a separate distribution in the quaternary space of Figure . It hints that navigating missing materials could unveil unexplored regions of the chemical space, potentially leading to the discovery of synthesisable materials with unique properties and applications. Indeed, the high fraction of empty space that exists for multi-component compounds has recently been exploited in a largescale computational screening study that identified 2.2 million plausible inorganic crystals and offers a fertile playground for generative machine learning models .