作者
Qing Zhu,Fei Zhang,Yan Huang,Hengyu Xiao,LuYuan Zhao,Xuchun Zhang,Tao Song,Xinsheng Tang,Xiang Li,He Guo,Baochen Chong,Junyi Zhou,YiHan Zhang,Baicheng Zhang,Jiaqi Cao,Man Luo,Song Wang,GuiLin Ye,Wanjun Zhang,Xin Chen,Shuang Cong,Donglai Zhou,Huirong Li,Jialei Li,Gang Zou,Weiwei Shang,Jun Jiang,Yi Luo
摘要
The realization of automated chemical experiments by robots unveiled the prelude to an artificial intelligence (AI) laboratory. Several AI-based systems or robots with specific chemical skills have been demonstrated, but conducting all-round scientific research remains challenging. Here, we present an all-round AI-Chemist equipped with scientific data intelligence that is capable of performing basic tasks generally required in chemical research. Based on a service platform, the AI-Chemist is able to automatically read the literatures from a cloud database and propose experimental plans accordingly. It can control a mobile robot in-house or online to automatically execute the complete experimental process on 14 workstations, including synthesis, characterization and performance tests. The experimental data can be simultaneously analysed by the computational brain of the AI-Chemist through machine learning and Bayesian optimization, allowing a new hypothesis for the next iteration to be proposed. The competence of the AI-Chemist has been scrutinized by three different chemical tasks. In the future, the more advanced all-round AI-Chemists equipped with scientific data intelligence may cause changes to the landscape of the chemical laboratory.