Predicting the Feasibility of Copper(I)-Catalyzed Alkyne-Azide Cycloaddition Reactions Using a Recurrent Neural Network with a Self-Attention Mechanism. - Shimin Su; Yuyao Yang; Hanlin Gan; Shuangjia Zheng; Fenglong Gu; Chao Zhao; Jun Xu 017 (J. Chem. Inf. Model., 2020)

A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data. - Baiqing Li; Shimin Su; Chan Zhu; Jie Lin; Xinyue Hu; Lebin Su; Zhunzhun Yu; Kuangbiao Liao; Hongming Chen (J. Cheminformatics, 2023)