For recipe representation, a synthesis procedure would ideally be 'completely' described by a sequence of actions or graphs, especially considering the sensitivity of the nanoparticle syntheses. In this study, we represent a recipe as its precursor vector. While this representation effectively trains a morphology classifier, it falls short in tasks such as AuNR AR regression.