In this work, we address this limitation by incorporating molecular volume data in melting point prediction models, which we propose as a proxy for the crystal lattice energy. Molecular volume (V m ) can be calculated using crystal structure data or density measurements (relatively easily acquired experimentally), or predicted computationally. We hypothesize the molecular volume in the solid phase of a species inherently accounts for the interactions between molecules, which builds on models that rely solely on 2D descriptors for individual molecules. We further model entropy using simple molecular descriptors calculated from the two-dimensional structure of the molecule using a semi-empirical model originally developed by Dannenfelser and Yalkowsky. Specifically, we investigate two different featurization approaches ('I' & 'II'), each with 2-3 model types ('a'-'c') to predict the melting points of quinones and hydroquinones. We