Artificial intelligence-driven autonomous laboratory for accelerating chemical discovery

Junwu Chen , Qiucheng Xu

Chemical Synthesis ›› 2025, Vol. 5 ›› Issue (4) : 76

PDF
Chemical Synthesis ›› 2025, Vol. 5 ›› Issue (4) :76 DOI: 10.20517/cs.2025.66
review-article

Artificial intelligence-driven autonomous laboratory for accelerating chemical discovery

Author information +
History +
PDF

Keywords

Artificial intelligence / machine learning / autonomous laboratory / chemical synthesis

Cite this article

Download citation ▾
Junwu Chen, Qiucheng Xu. Artificial intelligence-driven autonomous laboratory for accelerating chemical discovery. Chemical Synthesis, 2025, 5(4): 76 DOI:10.20517/cs.2025.66

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Dai T,Szczypiński FT.Autonomous mobile robots for exploratory synthetic chemistry.Nature2024;635:890-7 PMCID:PMC11602721

[2]

Gao W,Coley CW.Autonomous platforms for data-driven organic synthesis.Nat Commun2022;13:1075 PMCID:PMC8885738

[3]

Szymanski NJ,Fei Y.An autonomous laboratory for the accelerated synthesis of novel materials.Nature2023;624:86-91 PMCID:PMC10700133

[4]

Song T,Zhang X.A multiagent-driven robotic AI chemist enabling autonomous chemical research on demand.J Am Chem Soc2025;147:12534-45

[5]

Bran AM,Schilter O,White AD.Augmenting large language models with chemistry tools.Nat Mach Intell2024;6:525-35 PMCID:PMC11116106

[6]

Zhao Y,Wang J.Artificial intelligence meets laboratory automation in discovery and synthesis of metal–organic frameworks: a review.Ind Eng Chem Res2025;64:4637-68

[7]

Boiko DA,Kline B.Autonomous chemical research with large language models.Nature2023;624:570-8 PMCID:PMC10733136

AI Summary AI Mindmap
PDF

187

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/