Machine-Learning Prediction of Carrier Mobility and Polarity Type of Polymer Semiconductors: from High-Fidelity Data to Experimental Realization
Machine learning has rapidly advanced the discovery of functional materials. However, its application to polymer-based organic field-effect transistors (OFETs) remains limited by the scarcity of high-fidelity databases and the complex structure-process-property couplings. Here, we introduce an open-access integrated...