To demonstrate the effectiveness of our method with PIMF in rapidly analyzing novel block copolymers, we first trained our model using manually identified SAXS patterns from three block copolymer chemistries to predict the morphologies of a fourth material group. Due to the increased conformational asymmetry of D-1F and D-5F block copolymers, these materials exhibit a window of σ stability that vanishes in more conformationally symmetric D-9F and D-12F materials. Holding out these two groups as the training data could lead to inaccurate predictions due to the limited number of σ samples. Thus, we focused on two testing scenarios: using D-1F, D-5F, and D-12F to predict the morphology of D-9F, and using the other three block copolymer libraries to predict D-12F.