Towards global reaction feasibility and robustness prediction with high throughput data and bayesian deep learning
利用高通量数据和贝叶斯深度学习进行全球反应可行性和鲁棒性预测
期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-025-59812-0
Zhong, Haowen; Liu, Yilan; Sun, Haibin; Liu, Yuru; Zhang, Rentao; Li, Baochen; Yang, Yi; Huang, Yuqing; Yang, Fei; Mak, Frankie S; Foo, Klement; Lin, Sen; Yu, Tianshu; Wang, Peng; Wang, Xiaoxue