Stability prediction of organic field-effect transistors by machine learning
A tailored machine learning pipeline for predicting and interpreting the stability of OFET devices is proposed, demonstrating the promise of ML in enhancing both predictive accuracy and mechanistic insight in organic electronics, enabling the rational design and rapid screening of stable OSCs and OFETs, and exemplifyin...