2. Force-field features: Force-fields (electronic, magnetic) represent the different activation gradients underlying many material phenomena. When featurized they form powerful embodiment of structural influences on inter-atomic interactions by condensing them into functional attributes over performance properties. The These force-fields are best obtained by molecular-level simulations under various perturnations. Joint Automated Repository for Various Integrated Simulations (JARVIS) , available from NIST, constructs several force-fields of interest either via molecular or atomistic simulations or accurate ML surrogate models. These features have been widely applied in correlating solid structure to semi-conductor performance metrics. However, they also generate features useful to characterize atomic, electronic, topological, mechanical, magnetic and defect-inducing properties . As in several of the MAGPIE calculations, many of them also cover interactions between neighbors, expanding by atomic distance/radii to first, second and beyond neighborhood interactions. There are 1,557 features (starting with "jml") per material from this sub workflow. In this work the original CGCNN architecture as presented in was used, but the models were retrained on a more appropriate QMOF database dataset curated further as presented in the main body of this paper. We modified the original CGCNN architecture to simultaneously train on multiple properties. This enhancement is motivated by the success of so-called transfer-learning in other areas where designing or inversion of property to structure was also important. This also reduces the feature set dimensionality. However the testing performance with the simultaneously learnt features was much poorer than the individually trained ones, for all the architectures examined. Hence the individually trained feature dimensions (i.e. the last layer of the QMOF trained CGCNNs for the two properties, namely, band gap and total energy of the structure) were retained at the end of the featurization process to go into the larger pool.