Although this study has thoroughly compared the performance of UQ methods in predicting 𝑇 ! values of polymers, it primarily utilized existing ML models. Future research could focus on developing specialized ML models for polymer design that consider the unique features of polymers. Additionally, uncovering the chemical bases of uncertainty sources represents a significant challenge and an important area for future investigation, promising to enhance the predictive power and interpretability of ML models in the realm of polymer informatics.