An all-round AI-Chemist with a scientific mind

Author:

Zhu Qing1,Zhang Fei2,Huang Yan1,Xiao Hengyu1,Zhao LuYuan1,Zhang XuChun2,Song Tao2,Tang XinSheng2,Li Xiang2,He Guo2,Chong BaoChen2,Zhou JunYi2,Zhang YiHan2,Zhang Baicheng1,Cao JiaQi1,Luo Man1,Wang Song1,Ye GuiLin3,Zhang WanJun3,Chen Xin3,Cong Shuang2,Zhou Donglai1,Li Huirong1,Li Jialei1,Zou Gang1,Shang WeiWei2,Jiang Jun14,Luo Yi14

Affiliation:

1. Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China , Hefei 230026 , China

2. School of Information Science and Technology, University of Science and Technology of China , Hefei 230026 , China

3. Hefei JiShu Quantum Technology Co. Ltd , Hefei 230026 , China

4. Hefei National Laboratory, University of Science and Technology of China , Hefei 230088 , China

Abstract

Abstract 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.

Funder

National Key Research and Development Program of China

CAS

National Natural Science Foundation of China

NCCR Quantum Science and Technology

Anhui Provincial Natural Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Multidisciplinary

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