Donghua Lin

Deep learning-based prediction of highly efficient optical probes for two-photon fluorescence imaging and photodynamic therapy of tumor

This study reports an innovative intelligent screening strategy based on a directed message-passing neural network (DMPNN) to predict two key physical properties of corrole molecule probes involving the Q_band absorption and singlet–triplet intersystem crossing rate (kISC). Feature engineering and heterogeneous model f...