摘要
近年来,数据驱动的智能化学研究不断取得进展.本文报道了一套集成化学合成、样品表征与性能测试的机器化学家平台,在实现合成、表征和测试全流程自动化控制的同时,采集各个步骤的实验数据,形成数据云平台,主动对实验方案进行迭代优化.论文详细阐释了整体架构、软硬件设计和操作逻辑,展示了科研人员与该平台的交互过程,并对机器化学家的未来发展作出了展望.
Recent years witness rapid progress made in artificial intelligent(AI),data-driven chemistry research.An automated experimental platform with functions of synthesis,characterization and testing could transform a synthesis plan into characterization and testing data of real products,which can then be used to re-optimize synthesis,thus close the loop of materials design.Herein,we reported the design,framework and hardware/software systems of a robotic AI-chemist platform that integrates chemical synthesis,sample characterization and performance testing functions.The robotic AI-chemist was instructed to carry out photocatalysis experiments,which demonstrates its utility to replace a human chemist in real experimental operations.
作者
肖恒宇
张飞
朱青
赵路远
张旭春
宋涛
汤新胜
李想
何果
崇宝辰
周俊亦
张百成
曹嘉祺
罗蔓
叶桂林
张皖军
陈忻
尚伟伟
江俊
罗毅
HengYu Xiao;Fei Zhang;Qing Zhu;LuYuan Zhao;XuChun Zhang;Tao Song;XinSheng Tang;Xiang Li;Guo He;BaoChen Chong;JunYi Zhou;BaiCheng Zhang;JiaQi Cao;Man Luo;GuiLin Ye;WanJun Zhang;Xin Chen;WeiWei Shang;Jun Jiang;Yi Luo(School of Chemistry and Materials Science,University of Science and Technology of China,Hefei 230026,China;School of Information Science and Technology,University of Science and Technology of China,Hefei 230026,China;Hefei National Research Center for Physical Sciences at the Microscale,University of Science and Technology of China,Hefei 230026,China;Hefei Ji Shu Quantum Technology Co.Ltd.,Hefei 230026,China)
出处
《中国科学:化学》
CAS
CSCD
北大核心
2023年第1期9-18,共10页
SCIENTIA SINICA Chimica
基金
中国科学院稳定支持基础研究领域青年团队计划(编号:YSBR-005)
国家科技部重点专项(编号:2018YFA0208603)
国家自然科学基金(编号:22025304,22033007)资助项目。
关键词
机器化学家
机器学习
数据驱动
高通量实验
科学数据云平台
AI chemist
machine learning
data-driven
high-throughput experimentation
scientific data cloud platform