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集成化学合成、表征与测试全流程的机器化学家

AI-chemist for chemistry synthesis,property characterization,and performance testing
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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
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