Morphological traits that correlate with short circuit current and fill factor are identified. This is accomplished by creating a large data set of synthetic bulk heterojunction morphologies. Each morphology is characterized into descriptors via graph-based methods. The photovoltaic performance of each morphology is simulated with a drift-diffusion model. Correlation analysis is used to identify descriptors that correlate with device performance.