Subsequently, we applied the same PIMF-RF approach to predict the morphologies of the D-12F block copolymer library with the classification results detailed in Table . Of the 91 D-12F block copolymers, only three are inaccurately predicted, an improvement over the CD-RF and Curve-RF approaches, which misclassify 21 and 71 morphologies, respectively. highlighting the power of this synergistic approach combining machine learning with automated chromatographic separation towards accelerated materials discovery.