Machine-Learning Prediction of Carrier Mobility and Polarity Type of Polymer Semiconductors: from High-Fidelity Data to Experimental Realization
This work establishes a data-driven and experimentally grounded framework for predicting mobility levels and carrier transport types in polymer OFETs, directly bridging machine learning screening with device-level validation.