Frontier molecular orbital weighted model based networks for revealing organic delayed fluorescence efficiency.

ABSTRACT: Free of noble-metal and high in unit internal quantum efficiency of electroluminescence, organic molecules with thermally activated delayed fluorescence (TADF) features pose the potential to substitute metal-based phosphorescence materials and serve as the new-generation emitters for the mass production of organic light emitting diodes (OLEDs) display. Predicting the function of TADF emitters beyond classic chemical synthesis and material characterization experiments remains a great challenge. The advances in deep learning (DL) based artificial intelligence (AI) offer an exciting opportunity for screening high-performance TADF materials through efficiency evaluation. However, data-driven material screening approaches with the capacity to access the excited state properties of TADF emitters

SUBMITTER: He Z 

PROVIDER: S-EPMC11808113 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature