To propose candidate SCNPs for synthesis and characterization, ENets trained on Porod exponent and Rg respectively were utilized to predict NIG distributions for ~750,000 SCNP candidates representative of similar chemical constraints during our random screen. As we observed that predictions for EPO-SCNPs demonstrated an overall greater Porod Exponent than WDCL-SCNPs and PEG-SCNPs (Figure ), we limited our selection to EPO-SCNPs for synthesis. From the remaining predictions, candidates were filtered to require predicted Rg < 7 nm, Porod exponent of 3.7 -4.0, and exist in the lowest quartile of predicted variance for Porod exponent predictions. These criteria filtered possible candidates to 336 SCNP chemistries, from which 30 were randomly sampled for final synthesis and characterization. Additionally, to ensure that proposed EPO-SCNPs were not highly similar to previously synthesized SCNPs in our random screen, three-dimensional PCA analysis was performed on ENet proposed EPO-SCNPs in comparison to EPO-SCNPs evaluated during random screen (Figure ). Distinct differences between model proposed EPO-SCNPs and random screened samples are observed.