Integrating machine learning and generative models for the intelligent design of TADF materials with circularly polarized luminescence

We propose a machine learning and generative approach for circularly polarized TADF. A robust model finds key g lum features, and a VAE generates candidates with high g lum and good synthetic accessibility for chiral optoelectronics.