Data-efficient prediction of OLED optical properties enabled by transfer learning
It has long been desired to enable global structural optimization of organic light-emitting diodes (OLEDs) for maximal light extraction.The most critical obstacles to achieving this goal are time-consuming optical simulations and discrepancies between simulation and experiment.In this work, by leveraging transfer learning, we demonstrate that fast